SIGGRAPH 2020: Technical Papers
Technical Papers Chair:
Jury Member(s):
- Andrew Adams
- Iliyan Georgiev
- Felix Heide
- Chenfanfu Jiang
- Jingwan Lu
- Ren Ng
- Pieter Peers
- Jonathan Ragan-Kelley
- Justin M. Solomon
- Christian Theobalt
- James Henri Tompkin
Overview:
Hear from a wide range of scientists and researchers who drive the industry, inspire new work, and ignite memorable discussions. This is the content you’ll reflect on and refer to all year.
The Technical Papers program is the premier venue for disseminating scholarly work in computer graphics and interactive techniques. Encompassing a diverse range of topics, SIGGRAPH Technical Papers inspire innovation and imagination — how to create and understand the images, characters, environments, and experiences that will make our lives richer.
A SIGGRAPH Technical Paper is defined by the excellence of its ideas, and we welcome a broad array of submissions. The double-blind review process upholds the highest standards of scientific integrity, and accepted papers are published as a special issue of ACM Transactions on Graphics. Attendees not only listen to paper talks, but they also discuss, question, and build upon the ideas presented.
Papers:
Sort By
Title
Presenter
A Level-Set Method for Magnetic Substance Simulation
Presenter(s):
[Ni]
[Zhu]
[Wang]
[Chen]
[SIGGRAPH 2020]
A Low-parametric Rhombic Microstructure Family for Irregular Lattices
Presenter(s):
[Tozoni]
[Dumas]
[Jiang]
[Panetta]
[Panozzo]
[Zorin]
[SIGGRAPH 2020]
A Luminance-aware Model of Judder Perception
Presenter(s):
[Chapiro]
[Atkins]
[Daly]
[SIGGRAPH 2020]
A Massively Parallel and Scalable Multi-GPU Material Point Method
Presenter(s):
[Wang]
[Qiu]
[Slattery]
[Fang]
[Li]
[Zhu]
[Zhu]
[Tang]
[Manocha]
[Jiang]
[SIGGRAPH 2020]
A Model for Soap Film Dynamics with Evolving Thickness
Presenter(s):
[Ishida]
[Synak]
[Narita]
[Hachisuka]
[Wojtan]
[SIGGRAPH 2020]
A perceptual model of motion quality for rendering with adaptive refresh-rate and resolution
Presenter(s):
[Denes]
[Jindal]
[Mikhailiuk]
[Mantiuk]
[SIGGRAPH 2020]
A Practical Octree Liquid Simulator with Adaptive Surface Resolution
Presenter(s):
[Ando]
[Batty]
[SIGGRAPH 2020]
A Scalable Approach to Control Diverse Behaviors for PhysicallySimulated Characters
Presenter(s):
[Won]
[Gopinath]
[Hodgins]
[SIGGRAPH 2020]
A Smoothness Energy Without Boundary Distortion for Curved Surfaces
Presenter(s):
[Stein]
[Jacobson]
[Wardetzky]
[Grinspun]
[SIGGRAPH 2020]
A System for Efficient 3D Printed Stop-motion Face Animation
Presenter(s):
[Abdrashitov]
[Jacobson]
[Singh]
[SIGGRAPH 2020]
Accurate Face Rig Approximation with Deep Differential SubspaceReconstruction
Presenter(s):
[Song]
[Shi]
[Reed]
[SIGGRAPH 2020]
Accurate Rendering of Liquid-crystals and Inhomogeneous Optically Anisotropic Media
Presenter(s):
[Steinberg]
[SIGGRAPH 2020]
Adaptive Incident Radiance Field Sampling and Reconstruction Using Deep Reinforcement Learning
Presenter(s):
[Huo]
[Wang]
[Zheng]
[Xu]
[Bao]
[Yoon]
[SIGGRAPH 2020]
Adaptive Merging for Rigid Body Simulation
Presenter(s):
[Coevoet]
[Benchekroun]
[Kry]
[SIGGRAPH 2020]
Algebraic Representations for Volumetric Frame Fields
Presenter(s):
[Palmer]
[Bommes]
[Solomon]
[SIGGRAPH 2020]
An Implicit Compressible SPH Solver for Snow Simulation
Presenter(s):
[Gissler]
[Henne]
[Band]
[Peer]
[Teschner]
[SIGGRAPH 2020]
Analytic spherical harmonic gradients for real-time rendering with many polygonal area lights
Presenter(s):
[Wu]
[Cai]
[Zhao]
[Ramamoorthi]
[SIGGRAPH 2020]
AnisoMPM: Animating Anisotropic Damage Mechanics
Presenter(s):
[Wolper]
[Chen]
[Li]
[Fang]
[Qu]
[Lu]
[Cheng]
[Jiang]
[SIGGRAPH 2020]
ARAnimator: In-situ Character Animation in Mobile AR withUser-defined Motion Gestures
Presenter(s):
[Ye]
[Kwan]
[Su]
[Fu]
[SIGGRAPH 2020]
Attribute2Font: Creating Fonts You Want From Attributes
Presenter(s):
[Wang]
[Gao]
[Lian]
[SIGGRAPH 2020]
Automatic Structure Synthesis for 3D Woven Relief
Presenter(s):
[Wu]
[Harvey]
[Zhang]
[Kroszner]
[Hagan]
[Marschner]
[SIGGRAPH 2020]
Bézier Guarding: Precise Higher-Order Meshing of Curved 2D Domains
Presenter(s):
[Mandad]
[Campen]
[SIGGRAPH 2020]
C-Space Tunnel Discovery for Puzzle Path Planning
Presenter(s):
[Zhang]
[Belfer]
[Kry]
[Vouga]
[SIGGRAPH 2020]
Capturing Subjective First-Person View Shots With Drones for Automated Cinematography
Presenter(s):
[Ashtari]
[Stevsic]
[Nägeli]
[Bazin]
[Hilliges]
[SIGGRAPH 2020]
CARL: Controllable Agent with Reinforcement Learning forQuadruped Locomotion
Presenter(s):
[Luo]
[Soeseno]
[Chen]
[Chen]
[SIGGRAPH 2020]
Catch & Carry: Reusable Neural Controllers for Vision-GuidedWhole-Body Tasks
Presenter(s):
[Merel]
[Tunyasuvunakool]
[Ahuja]
[Tassa]
[Hasenclever]
[Pham]
[Erez]
[Wayne]
[Heess]
[SIGGRAPH 2020]
Character Controllers using Motion VAEs
Presenter(s):
[Ling]
[Zinno]
[Cheng]
[Panne]
[SIGGRAPH 2020]
Chemomechanical Simulation of Soap Film Flow on Spherical Bubbles
Presenter(s):
[Huang]
[Iseringhausen]
[Kneiphof]
[Qu]
[Jiang]
[Hullin]
[SIGGRAPH 2020]
CNNs on Surfaces using Rotation-Equivariant Features
Presenter(s):
[Wiersma]
[Eisemann]
[Hildebrandt]
[SIGGRAPH 2020]
Code Replicability in Computer Graphics
Presenter(s):
[Bonneel]
[Coeurjolly]
[Digne]
[Mellado]
[SIGGRAPH 2020]
Codimensional Surface Tension Flow using Moving-Least-SquaresParticles
Presenter(s):
[Wang]
[Jin]
[Luo]
[Yang]
[Zhu]
[SIGGRAPH 2020]
Colored Fused Filament Fabrication
Presenter(s):
[Song]
[Martínez]
[Bedell]
[Vennin]
[Lefebvre]
[SIGGRAPH 2020]
Complete Classification and Efficient Determination of Arrangements Formed by Two Ellipsoids
Presenter(s):
[Jia]
[Tu]
[Mourrain]
[Wang]
[SIGGRAPH 2020]
Compositional Neural Scene Representations for Shading Inference
Presenter(s):
[Granskog]
[Rousselle]
[Papas]
[Novák]
[SIGGRAPH 2020]
Computational Design of Skintight Clothing
Presenter(s):
[Maestre]
[Thomaszewski]
[Mudur]
[Popa]
[SIGGRAPH 2020]
Computational Image Marking on Metals via Laser Induced Heating
Presenter(s):
[Cucerca]
[Didyk]
[Seidel]
[Babaei]
[SIGGRAPH 2020]
Computational Parquetry: Fabricated Style Transfer With Wood Pixels
Presenter(s):
[Iseringhausen]
[Weinmann]
[Huang]
[Hullin]
[SIGGRAPH 2020]
Consistent Video Depth Estimation
Presenter(s):
[Luo]
[Huang]
[Szeliski]
[Matzen]
[Kopf]
[SIGGRAPH 2020]
Constraint Bubbles and Affine Regions: Reduced Fluid Models forEfficient Immersed Bubbles and Flexible Spatial Coarsening
Presenter(s):
[Goldade]
[Aanjaneya]
[Batty]
[SIGGRAPH 2020]
Continuous multiple importance sampling
Presenter(s):
[West]
[Georgiev]
[Gruson]
[Hachisuka]
[SIGGRAPH 2020]
Corner-Operated Tran-Similar (COTS) Maps, Patterns, and Lattices
Presenter(s):
[Rossignac]
[SIGGRAPH 2020]
Cut-enhanced PolyCube-maps for feature-aware all-hex meshing
Presenter(s):
[Guo]
[Liu]
[Yan]
[Liu]
[SIGGRAPH 2020]
Data-driven Extraction and Composition of Secondary Dynamics in Facial Performance Capture
Presenter(s):
[Zoss]
[Sifakis]
[Gross]
[Beeler]
[Bradley]
[SIGGRAPH 2020]
Deep Generative Modeling for Scene Synthesis via Hybrid Representations
Presenter(s):
[Zhang]
[Yang]
[Ma]
[Luo]
[Huth]
[Vouga]
[Huang]
[SIGGRAPH 2020]
Deep Geometric Texture Synthesis
Presenter(s):
[Hertz]
[Hanocka]
[Giryes]
[Cohen-Or]
[SIGGRAPH 2020]
DeepFaceDrawing: Deep Generation of Face Images from Sketches
Presenter(s):
[Chen]
[Su]
[Gao]
[Xia]
[Fu]
[SIGGRAPH 2020]
DeepMag: Source Specific Motion Magnification Using Gradient Ascent
Presenter(s):
[McDuff]
[Chen]
[SIGGRAPH 2020]
Delayed Rejection Metropolis Light Transport
Presenter(s):
[Rioux-Lavoie]
[Litalien]
[Gruson]
[Hachisuka]
[Nowrouzezahrai]
[SIGGRAPH 2020]
Developability of Heightfields via Rank Minimization
Presenter(s):
[Sellán]
[Aigerman]
[Jacobson]
[SIGGRAPH 2020]
Directional Sources and Listeners in Interactive Sound Propagation using Reciprocal Wave Field Coding
Presenter(s):
[Chaitanya]
[Raghuvanshi]
[Godin]
[Zhang]
[Nowrouzezahrai]
[Snyder]
[SIGGRAPH 2020]
Discrete Differential Operators on Polygonal Meshes
Presenter(s):
[Goes]
[Butts]
[Desbrun]
[SIGGRAPH 2020]
Dynamic Graph CNN for Learning on Point Clouds
Presenter(s):
[Wang]
[Sun]
[Liu]
[Sarma]
[Bronstein]
[Solomon]
[SIGGRAPH 2020]
End-to-end Learned, Optically Coded Super-resolution SPAD Camera
Presenter(s):
[Sun]
[Zhang]
[Dun]
[Ghanem]
[Peng]
[Heidrich]
[SIGGRAPH 2020]
Enhanced Interactive 360° Viewing via Automatic Guidance
Presenter(s):
[Cha]
[Lee]
[Kim]
[Noh]
[SIGGRAPH 2020]
ENIGMA: evolutionary non-isometric geometry Matching
Presenter(s):
[Edelstein]
[Ezuz]
[Ben-Chen]
[SIGGRAPH 2020]
Enlighten Me: Importance of Brightness and Shadow for Character Emotion and Appeal
Presenter(s):
[Wisessing]
[Zibrek]
[Cunningham]
[Dingliana]
[McDonnell]
[SIGGRAPH 2020]
Exact and efficient polyhedral envelope containment check
Presenter(s):
[Wang]
[Schneider]
[Hu]
[Attene]
[Panozzo]
[SIGGRAPH 2020]
Example-based Microstructure Rendering With Constant Storage
Presenter(s):
[Wang]
[Hasan]
[Holzschuch]
[Yan]
[SIGGRAPH 2020]
Example-driven Virtual Cinematography by Learning CameraBehaviors
Presenter(s):
[Jiang]
[Wang]
[Wang]
[Christie]
[Chen]
[SIGGRAPH 2020]
Exertion-aware Path Generation
Presenter(s):
[Li]
[Xie]
[Zhang]
[Meiss]
[Huang]
[Yu]
[SIGGRAPH 2020]
Fabrication-in-the-Loop Co-Optimization of Surfaces and Styli for Drawing Haptics
Presenter(s):
[Piovarči]
[Kaufman]
[Levin]
[Didyk]
[SIGGRAPH 2020]
Fast and Deep Facial Deformations
Presenter(s):
[Bailey]
[Omens]
[DiLorenzo]
[O'Brien]
[SIGGRAPH 2020]
Fast and Flexible Multilegged Locomotion Using Learned Centroidal Dynamics
Presenter(s):
[Kwon]
[Lee]
[Panne]
[SIGGRAPH 2020]
Fast and Scalable Turbulent Flow Simulation with Two-Way Coupling
Presenter(s):
[Li]
[Chen]
[Desbrun]
[Zheng]
[Liu]
[SIGGRAPH 2020]
Fast tetrahedral meshing in the wild
Presenter(s):
[Hu]
[Schneider]
[Wang]
[Zorin]
[Panozzo]
[SIGGRAPH 2020]
Gaze-Contingent Ocular Parallax Rendering for Virtual Reality
Presenter(s):
[Konrad]
[Angelopoulos]
[Wetzstein]
[SIGGRAPH 2020]
Generating Digital Painting Lighting Effects via RGB-space Geometry
Presenter(s):
[Zhang]
[Simo-Serra]
[Ji]
[Liu]
[SIGGRAPH 2020]
Graph2Plan: Learning Floorplan Generation From Layout Graphs
Presenter(s):
[Hu]
[Huang]
[Tang]
[Kaick]
[Zhang]
[Huang]
[SIGGRAPH 2020]
GS-PAT: High-speed Multi-point Sound-fields for Phased Arrays of Transducers
Presenter(s):
[Plasencia]
[Hirayama]
[Murillo]
[Subramanian]
[SIGGRAPH 2020]
HeadBlaster: A Wearable Approach to Simulating Motion Perceptionusing Head-mounted Air Propulsion Jets
Presenter(s):
[Liu]
[Yen]
[Mao]
[Lin]
[Chandra]
[Chen]
[SIGGRAPH 2020]
Hierarchical Optimization Time Integration for CFL-rate MPM Stepping
Presenter(s):
[Wang]
[Li]
[Fang]
[Zhang]
[Gao]
[Tang]
[Kaufman]
[Jiang]
[SIGGRAPH 2020]
High Resolution Étendue Expansion for Holographic Displays
Presenter(s):
[Kuo]
[Waller]
[Ng]
[Maimone]
[SIGGRAPH 2020]
Holographic Optics for Thin and Lightweight Virtual Reality
Presenter(s):
[Maimone]
[Wang]
[SIGGRAPH 2020]
Human-in-the-Loop Differential Subspace Search in High-DimensionalLatent Space
Presenter(s):
[Chiu]
[Koyama]
[Lai]
[Igarashi]
[Yue]
[SIGGRAPH 2020]
Image-Based Acquisition and Modeling of Polarimetric Reflectance
Presenter(s):
[Baek]
[Zeltner]
[Ku]
[Hwang]
[Tong]
[Jakob]
[Kim]
[SIGGRAPH 2020]
Immersive Light Field Video with a Layered Mesh Representation
Presenter(s):
[Broxton]
[Flynn]
[Overbeck]
[Erickson]
[Hedman]
[DuVall]
[Dourgarian]
[Whalen]
[Busch]
[Debevec]
[SIGGRAPH 2020]
Incremental Potential Contact: Intersection- and Inversion-free,Large-Deformation Dynamics
Presenter(s):
[Li]
[Ferguson]
[Schneider]
[Langlois]
[Zorin]
[Panozzo]
[Jiang]
[Kaufman]
[SIGGRAPH 2020]
Informative Scene Decomposition for Crowd Analysis, Comparison andSimulation Guidance
Presenter(s):
[He]
[Xiang]
[Zhao]
[Wang]
[SIGGRAPH 2020]
Inter-surface Maps via Constant-curvature Metrics
Presenter(s):
[Schmidt]
[Campen]
[Born]
[Kobbelt]
[SIGGRAPH 2020]
Interactive Video Stylization Using Few-Shot Patch-Based Training
Presenter(s):
[Texler]
[Futschik]
[Kučera]
[Jamriška]
[Sochorová]
[Chai]
[Tulyakov]
[Sýkora]
[SIGGRAPH 2020]
Interferometric Transmission Probing with Coded Mutual Intensity
Presenter(s):
[Kotwal]
[Levin]
[Gkioulekas]
[SIGGRAPH 2020]
Inverse Procedural Modeling of Branching Structures by Inferring L-Systems
Presenter(s):
[Guo]
[Jiang]
[Benes]
[Deussen]
[Zhang]
[Lischinski]
[Huang]
[SIGGRAPH 2020]
IQ-MPM: An Interface Quadrature Material Point Method forNon-sticky Strongly Two-Way Coupled Nonlinear Solids and Fluids
Presenter(s):
[Fang]
[Qu]
[Li]
[Zhang]
[Zhu]
[Aanjaneya]
[Jiang]
[SIGGRAPH 2020]
KRISM – Krylov Subspace-based Optical Computing of Hyperspectral Images
Presenter(s):
[Saragadam]
[Sankaranarayanan]
[SIGGRAPH 2020]
Lagrangian Neural Style Transfer for Fluids
Presenter(s):
[Kim]
[Azevedo]
[Gross]
[Solenthaler]
[SIGGRAPH 2020]
Langevin monte carlo rendering with gradient-based adaptation
Presenter(s):
[Luan]
[Zhao]
[Bala]
[Gkioulekas]
[SIGGRAPH 2020]
Learning Temporal Coherence via Self-Supervision for GAN-basedVideo Generation
Presenter(s):
[Chu]
[Xie]
[Mayer]
[Leal-Taixé]
[Thuerey]
[SIGGRAPH 2020]
Lifting Simplices to Find Injectivity
Presenter(s):
[Du]
[Aigerman]
[Zhou]
[Kovalsky]
[Yan]
[Kaufman]
[Ju]
[SIGGRAPH 2020]
Local Motion Phases for Learning Multi-Contact Character Movements
Presenter(s):
[Starke]
[Zhao]
[Komura]
[Zaman]
[SIGGRAPH 2020]
LoopyCuts: practical feature-preserving block decomposition for strongly hex-dominant meshing
Presenter(s):
[Livesu]
[Pietroni]
[Puppo]
[Sheffer]
[Cignoni]
[SIGGRAPH 2020]
Manipulating Attributes of Natural Scenes via Hallucination
Presenter(s):
[Karacan]
[Akata]
[Erdem]
[Erdem]
[SIGGRAPH 2020]
Massively Parallel Rendering of Complex Closed-form Implicit Surfaces
Presenter(s):
[Keeter]
[SIGGRAPH 2020]
Medial Elastics: Efficient and Collision-ready Deformation via Medial Axis Transform
Presenter(s):
[Lan]
[Luo]
[Fratarcangeli]
[Xu]
[Wang]
[Guo]
[Yao]
[Yang]
[SIGGRAPH 2020]
MEgATrack: Monochrome Egocentric Articulated Hand-Tracking forVirtual Reality
Presenter(s):
[Han]
[Liu]
[Cabezas]
[Twigg]
[Zhang]
[Petkau]
[Yu]
[Tai]
[Akbay]
[Wang]
[Nitzan]
[Dong]
[Ye]
[Tao]
[Wan]
[Wang]
[SIGGRAPH 2020]
MGCN: Descriptor Learning Using Multiscale GCNs
Presenter(s):
[Wang]
[Ren]
[Yan]
[Guo]
[Zhang]
[Wonka]
[SIGGRAPH 2020]
MichiGAN: Multi-Input-Conditioned Hair Image Generation for Portrait Editing
Presenter(s):
[Tan]
[Chai]
[Chen]
[Liao]
[Chu]
[Yuan]
[Tulyakov]
[Yu]
[SIGGRAPH 2020]
Microfacet BSDFs Generated From NDFs, Using Explicit Microgeometry
Presenter(s):
[Ribardière]
[Bringier]
[Simonot]
[Meneveaux]
[SIGGRAPH 2020]
Model Predictive Control With a Visuomotor System for Physics-based Character Animation
Presenter(s):
[Eom]
[Han]
[Shin]
[Noh]
[SIGGRAPH 2020]
Monte Carlo Geometry Processing: A Grid-Free Approach to PDE-Based Methods on Volumetric Domains
Presenter(s):
[Sawhney]
[Crane]
[SIGGRAPH 2020]
NASOQ: Numerically Accurate Sparsity-Oriented QP Solver
Presenter(s):
[Cheshmi]
[Kaufman]
[Kamil]
[Dehnavi]
[SIGGRAPH 2020]
Neural Supersampling for Real-time Rendering
Presenter(s):
[Xiao]
[Nouri]
[Chapman]
[Fix]
[Lanman]
[Kaplanyan]
[SIGGRAPH 2020]
Noise-resilient Reconstruction of Panoramas and 3D Scenes Using Robot-mounted Unsynchronized Commodity RGB-D Cameras
Presenter(s):
[Yang]
[Li]
[Cao]
[Fu]
[Lai]
[Kobbelt]
[Hu]
[SIGGRAPH 2020]
Non-line-of-sight Reconstruction Using Efficient Transient Rendering
Presenter(s):
[Iseringhausen]
[Hullin]
[SIGGRAPH 2020]
Nonlinear Color Triads for Approximation, Learning, and Direct Manipulation of Color Distributions
Presenter(s):
[Shugrina]
[Kar]
[Fidler]
[Singh]
[SIGGRAPH 2020]
Octahedral Frames for Feature-Aligned Cross-Fields
Presenter(s):
[Zhang]
[Vehkter]
[Chien]
[Bommes]
[Vouga]
[Solomon]
[SIGGRAPH 2020]
On Elastic Geodesic Grids and Their Planar to Spatial Deployment
Presenter(s):
[Pillwein]
[Leimer]
[Birsak]
[Musialski]
[SIGGRAPH 2020]
One Shot 3D Photography
Presenter(s):
[Kopf]
[Matzen]
[Alsisan]
[Quigley]
[Ge]
[Chong]
[Patterson]
[Frahm]
[Wu]
[Yu]
[Zhang]
[He]
[Vajda]
[Saraf]
[Cohen]
[SIGGRAPH 2020]
Path-space differentiable rendering
Presenter(s):
[Zhang]
[Miller]
[Yan]
[Gkioulekas]
[Zhao]
[SIGGRAPH 2020]
Penrose: From Mathematical Notation to Beautiful Diagrams
Presenter(s):
[Ye]
[Ni]
[Krieger]
[Ma’ayan]
[Wise]
[Aldrich]
[Sunshine]
[Crane]
[SIGGRAPH 2020]
Phong deformation: a better C0 interpolant for embedded deformation
Presenter(s):
[James]
[SIGGRAPH 2020]
Point2Mesh: A Self-prior for Deformable Meshes
Presenter(s):
[Hanocka]
[Metzer]
[Giryes]
[Cohen-Or]
[SIGGRAPH 2020]
PolyFit: Perception-Aligned Vectorization of Raster Clip-Art viaIntermediate Polygonal Fitting
Presenter(s):
[Dominici]
[Schertler]
[Griffin]
[Hoshyari]
[Sigal]
[Sheffer]
[SIGGRAPH 2020]
Portrait Shadow Manipulation
Presenter(s):
[Zhang]
[Barron]
[Tsai]
[Pandey]
[Zhang]
[Ng]
[Jacobs]
[SIGGRAPH 2020]
Principal Symmetric Meshes
Presenter(s):
[Pellis]
[Wang]
[Kilian]
[Rist]
[Pottmann]
[Mueller]
[SIGGRAPH 2020]
Projective Dynamics with Dry Frictional Contact
Presenter(s):
[Ly]
[Jouve]
[Boissieux]
[Bertails-Descoubes]
[SIGGRAPH 2020]
Quad-mesh Based Isometric Mappings and Developable Surfaces
Presenter(s):
[Jiang]
[Wang]
[Rist]
[Wallner]
[Pottmann]
[SIGGRAPH 2020]
Quanta Burst Photography
Presenter(s):
[Ma]
[Gupta]
[Ulku]
[Bruschini]
[Charbon]
[Gupta]
[SIGGRAPH 2020]
Radiative backpropagation: an adjoint method for lightning-fast differentiable rendering
Presenter(s):
[Nimier-David]
[Speierer]
[Ruiz]
[Jakob]
[SIGGRAPH 2020]
Real-time Image Smoothing via Iterative Least Squares
Presenter(s):
[Liu]
[Zhang]
[Huang]
[Yang]
[Shen]
[SIGGRAPH 2020]
Resampling-aware Weighting Functions for Bidirectional Path Tracing Using Multiple Light Sub-paths
Presenter(s):
[Nabata]
[Iwasaki]
[Dobashi]
[SIGGRAPH 2020]
RigNet: Neural Rigging for Articulated Characters
Presenter(s):
[Xu]
[Zhou]
[Kalogerakis]
[Landreth]
[Singh]
[SIGGRAPH 2020]
RoboCut: hot-wire cutting with robot-controlled flexible rods
Presenter(s):
[Duenser]
[Poranne]
[Thomaszewski]
[Coros]
[SIGGRAPH 2020]
Robust Eulerian-on-Lagrangian Rods
Presenter(s):
[Sánchez-Banderas]
[Rodríguez]
[Barreiro]
[Otaduy]
[SIGGRAPH 2020]
Robust fitting of parallax-aware mixtures for path guiding
Presenter(s):
[Ruppert]
[Herholz]
[Lensch]
[SIGGRAPH 2020]
Seamless Parametrization With Arbitrary Cones for Arbitrary Genus
Presenter(s):
[Campen]
[Shen]
[Zhou]
[Zorin]
[SIGGRAPH 2020]
Sequential Gallery for Interactive Visual Design Optimization
Presenter(s):
[Koyama]
[Sato]
[Goto]
[SIGGRAPH 2020]
Simple and Scalable Frictional Contacts for Thin Nodal Objects
Presenter(s):
[Daviet]
[SIGGRAPH 2020]
Single Image HDR Reconstruction Using a CNN with Masked Featuresand Perceptual Loss
Presenter(s):
[Santos]
[Ren]
[Kalantari]
[SIGGRAPH 2020]
Single-Shot High-Quality Facial Geometry and Skin Appearance Capture
Presenter(s):
[Riviere]
[Gotardo]
[Bradley]
[Ghosh]
[Beeler]
[SIGGRAPH 2020]
Skeleton-Aware Networks for Deep Motion Retargeting
Presenter(s):
[Aberman]
[Li]
[Lischinski]
[Sorkine-Hornung]
[Cohen-Or]
[Chen]
[SIGGRAPH 2020]
Sliced optimal transport sampling
Presenter(s):
[Paulin]
[Bonneel]
[Coeurjolly]
[Iehl]
[Webanck]
[Desbrun]
[Ostromoukhov]
[SIGGRAPH 2020]
Spatiotemporal Reservoir Resampling for Real-time Ray Tracing With Dynamic Direct Lighting
Presenter(s):
[Bitterli]
[Wyman]
[Pharr]
[Shirley]
[Lefohn]
[Jarosz]
[SIGGRAPH 2020]
Specular Manifold Sampling for Rendering High-frequency Caustics and Glints
Presenter(s):
[Zeltner]
[Georgiev]
[Jakob]
[SIGGRAPH 2020]
Tactile Line Drawings for Improved Shape Understanding in Blind and Visually Impaired Users
Presenter(s):
[Panotopoulou]
[Zhang]
[Qiu]
[Yang]
[Whiting]
[SIGGRAPH 2020]
Tactile Rendering Based on Skin Stress Optimization
Presenter(s):
[Verschoor]
[Casas]
[Otaduy]
[SIGGRAPH 2020]
The Design and Evolution of the UberBake Light Baking System
Presenter(s):
[Seyb]
[Sloan]
[Silvennoinen]
[Iwanicki]
[Jarosz]
[SIGGRAPH 2020]
The Eyes Have It: An Integrated Eye and Face Model for Photorealistic Facial Animation
Presenter(s):
[Schwartz]
[Wei]
[Wang]
[Lombardi]
[Simon]
[Saragih]
[Sheikh]
[SIGGRAPH 2020]
The leopard never changes its spots: realistic pigmentation pattern formation by coupling tissue growth with reaction-diffusion
Presenter(s):
[Malheiros]
[Fensterseifer]
[Walter]
[SIGGRAPH 2020]
TilinGNN: Learning to Tile With Self-supervised Graph Neural Network
Presenter(s):
[Xu]
[Hui]
[Fu]
[Zhang]
[SIGGRAPH 2020]
Towards Occlusion-Aware Multifocal Displays
Presenter(s):
[Chang]
[Levin]
[Kumar]
[Sankaranarayanan]
[SIGGRAPH 2020]
Uncertainty quantification for multi-scan registration
Presenter(s):
[Huang]
[Liang]
[Huang]
[SIGGRAPH 2020]
Unpaired Motion Style Transfer from Video to Animation
Presenter(s):
[Aberman]
[Weng]
[Lischinski]
[Cohen-Or]
[Chen]
[SIGGRAPH 2020]
Unsupervised K-modal styled content generation
Presenter(s):
[Sendik]
[Lischinski]
[Cohen-Or]
[SIGGRAPH 2020]
Variable-width Contouring for Additive Manufacturing
Presenter(s):
[Hornus]
[Kuipers]
[Devillers]
[Teillaud]
[Martínez]
[Glisse]
[Lazard]
[Lefebvre]
[SIGGRAPH 2020]
Variance-aware path guiding
Presenter(s):
[Rath]
[Grittmann]
[Herholz]
[Vévoda]
[Slusallek]
[Křivánek]
[SIGGRAPH 2020]
Vid2Curve: simultaneous camera motion estimation and thin structure reconstruction from an RGB video
Presenter(s):
[Wang]
[Liu]
[Chen]
[Chu]
[Theobalt]
[Wang]
[SIGGRAPH 2020]
VoroCrust: Voronoi Meshing Without Clipping
Presenter(s):
[Abdelrazek]
[Ebeida]
[Mahmoud]
[Bajaj]
[Mitchell]
[Owens]
[Rushdi]
[SIGGRAPH 2020]
VoroCrust: Voronoi Meshing Without Clipping
Presenter(s):
[Abdelrazek]
[Ebeida]
[Mahmoud]
[Bajaj]
[Mitchell]
[Owens]
[Rushdi]
[SIGGRAPH 2020]
A System for Efficient 3D Printed Stop-motion Face Animation
Presenter(s):
[Abdrashitov]
[Jacobson]
[Singh]
[SIGGRAPH 2020]
Skeleton-Aware Networks for Deep Motion Retargeting
Presenter(s):
[Aberman]
[Li]
[Lischinski]
[Sorkine-Hornung]
[Cohen-Or]
[Chen]
[SIGGRAPH 2020]
Unpaired Motion Style Transfer from Video to Animation
Presenter(s):
[Aberman]
[Weng]
[Lischinski]
[Cohen-Or]
[Chen]
[SIGGRAPH 2020]
A Practical Octree Liquid Simulator with Adaptive Surface Resolution
Presenter(s):
[Ando]
[Batty]
[SIGGRAPH 2020]
Capturing Subjective First-Person View Shots With Drones for Automated Cinematography
Presenter(s):
[Ashtari]
[Stevsic]
[Nägeli]
[Bazin]
[Hilliges]
[SIGGRAPH 2020]
Image-Based Acquisition and Modeling of Polarimetric Reflectance
Presenter(s):
[Baek]
[Zeltner]
[Ku]
[Hwang]
[Tong]
[Jakob]
[Kim]
[SIGGRAPH 2020]
Fast and Deep Facial Deformations
Presenter(s):
[Bailey]
[Omens]
[DiLorenzo]
[O'Brien]
[SIGGRAPH 2020]
Spatiotemporal Reservoir Resampling for Real-time Ray Tracing With Dynamic Direct Lighting
Presenter(s):
[Bitterli]
[Wyman]
[Pharr]
[Shirley]
[Lefohn]
[Jarosz]
[SIGGRAPH 2020]
Code Replicability in Computer Graphics
Presenter(s):
[Bonneel]
[Coeurjolly]
[Digne]
[Mellado]
[SIGGRAPH 2020]
Immersive Light Field Video with a Layered Mesh Representation
Presenter(s):
[Broxton]
[Flynn]
[Overbeck]
[Erickson]
[Hedman]
[DuVall]
[Dourgarian]
[Whalen]
[Busch]
[Debevec]
[SIGGRAPH 2020]
Seamless Parametrization With Arbitrary Cones for Arbitrary Genus
Presenter(s):
[Campen]
[Shen]
[Zhou]
[Zorin]
[SIGGRAPH 2020]
Enhanced Interactive 360° Viewing via Automatic Guidance
Presenter(s):
[Cha]
[Lee]
[Kim]
[Noh]
[SIGGRAPH 2020]
Directional Sources and Listeners in Interactive Sound Propagation using Reciprocal Wave Field Coding
Presenter(s):
[Chaitanya]
[Raghuvanshi]
[Godin]
[Zhang]
[Nowrouzezahrai]
[Snyder]
[SIGGRAPH 2020]
Towards Occlusion-Aware Multifocal Displays
Presenter(s):
[Chang]
[Levin]
[Kumar]
[Sankaranarayanan]
[SIGGRAPH 2020]
A Luminance-aware Model of Judder Perception
Presenter(s):
[Chapiro]
[Atkins]
[Daly]
[SIGGRAPH 2020]
DeepFaceDrawing: Deep Generation of Face Images from Sketches
Presenter(s):
[Chen]
[Su]
[Gao]
[Xia]
[Fu]
[SIGGRAPH 2020]
NASOQ: Numerically Accurate Sparsity-Oriented QP Solver
Presenter(s):
[Cheshmi]
[Kaufman]
[Kamil]
[Dehnavi]
[SIGGRAPH 2020]
Human-in-the-Loop Differential Subspace Search in High-DimensionalLatent Space
Presenter(s):
[Chiu]
[Koyama]
[Lai]
[Igarashi]
[Yue]
[SIGGRAPH 2020]
Learning Temporal Coherence via Self-Supervision for GAN-basedVideo Generation
Presenter(s):
[Chu]
[Xie]
[Mayer]
[Leal-Taixé]
[Thuerey]
[SIGGRAPH 2020]
Adaptive Merging for Rigid Body Simulation
Presenter(s):
[Coevoet]
[Benchekroun]
[Kry]
[SIGGRAPH 2020]
Computational Image Marking on Metals via Laser Induced Heating
Presenter(s):
[Cucerca]
[Didyk]
[Seidel]
[Babaei]
[SIGGRAPH 2020]
Simple and Scalable Frictional Contacts for Thin Nodal Objects
Presenter(s):
[Daviet]
[SIGGRAPH 2020]
A perceptual model of motion quality for rendering with adaptive refresh-rate and resolution
Presenter(s):
[Denes]
[Jindal]
[Mikhailiuk]
[Mantiuk]
[SIGGRAPH 2020]
PolyFit: Perception-Aligned Vectorization of Raster Clip-Art viaIntermediate Polygonal Fitting
Presenter(s):
[Dominici]
[Schertler]
[Griffin]
[Hoshyari]
[Sigal]
[Sheffer]
[SIGGRAPH 2020]
Lifting Simplices to Find Injectivity
Presenter(s):
[Du]
[Aigerman]
[Zhou]
[Kovalsky]
[Yan]
[Kaufman]
[Ju]
[SIGGRAPH 2020]
RoboCut: hot-wire cutting with robot-controlled flexible rods
Presenter(s):
[Duenser]
[Poranne]
[Thomaszewski]
[Coros]
[SIGGRAPH 2020]
ENIGMA: evolutionary non-isometric geometry Matching
Presenter(s):
[Edelstein]
[Ezuz]
[Ben-Chen]
[SIGGRAPH 2020]
Model Predictive Control With a Visuomotor System for Physics-based Character Animation
Presenter(s):
[Eom]
[Han]
[Shin]
[Noh]
[SIGGRAPH 2020]
IQ-MPM: An Interface Quadrature Material Point Method forNon-sticky Strongly Two-Way Coupled Nonlinear Solids and Fluids
Presenter(s):
[Fang]
[Qu]
[Li]
[Zhang]
[Zhu]
[Aanjaneya]
[Jiang]
[SIGGRAPH 2020]
An Implicit Compressible SPH Solver for Snow Simulation
Presenter(s):
[Gissler]
[Henne]
[Band]
[Peer]
[Teschner]
[SIGGRAPH 2020]
Discrete Differential Operators on Polygonal Meshes
Presenter(s):
[Goes]
[Butts]
[Desbrun]
[SIGGRAPH 2020]
Constraint Bubbles and Affine Regions: Reduced Fluid Models forEfficient Immersed Bubbles and Flexible Spatial Coarsening
Presenter(s):
[Goldade]
[Aanjaneya]
[Batty]
[SIGGRAPH 2020]
Compositional Neural Scene Representations for Shading Inference
Presenter(s):
[Granskog]
[Rousselle]
[Papas]
[Novák]
[SIGGRAPH 2020]
Cut-enhanced PolyCube-maps for feature-aware all-hex meshing
Presenter(s):
[Guo]
[Liu]
[Yan]
[Liu]
[SIGGRAPH 2020]
Inverse Procedural Modeling of Branching Structures by Inferring L-Systems
Presenter(s):
[Guo]
[Jiang]
[Benes]
[Deussen]
[Zhang]
[Lischinski]
[Huang]
[SIGGRAPH 2020]
MEgATrack: Monochrome Egocentric Articulated Hand-Tracking forVirtual Reality
Presenter(s):
[Han]
[Liu]
[Cabezas]
[Twigg]
[Zhang]
[Petkau]
[Yu]
[Tai]
[Akbay]
[Wang]
[Nitzan]
[Dong]
[Ye]
[Tao]
[Wan]
[Wang]
[SIGGRAPH 2020]
Point2Mesh: A Self-prior for Deformable Meshes
Presenter(s):
[Hanocka]
[Metzer]
[Giryes]
[Cohen-Or]
[SIGGRAPH 2020]
Informative Scene Decomposition for Crowd Analysis, Comparison andSimulation Guidance
Presenter(s):
[He]
[Xiang]
[Zhao]
[Wang]
[SIGGRAPH 2020]
Deep Geometric Texture Synthesis
Presenter(s):
[Hertz]
[Hanocka]
[Giryes]
[Cohen-Or]
[SIGGRAPH 2020]
Variable-width Contouring for Additive Manufacturing
Presenter(s):
[Hornus]
[Kuipers]
[Devillers]
[Teillaud]
[Martínez]
[Glisse]
[Lazard]
[Lefebvre]
[SIGGRAPH 2020]
Fast tetrahedral meshing in the wild
Presenter(s):
[Hu]
[Schneider]
[Wang]
[Zorin]
[Panozzo]
[SIGGRAPH 2020]
Graph2Plan: Learning Floorplan Generation From Layout Graphs
Presenter(s):
[Hu]
[Huang]
[Tang]
[Kaick]
[Zhang]
[Huang]
[SIGGRAPH 2020]
Chemomechanical Simulation of Soap Film Flow on Spherical Bubbles
Presenter(s):
[Huang]
[Iseringhausen]
[Kneiphof]
[Qu]
[Jiang]
[Hullin]
[SIGGRAPH 2020]
Uncertainty quantification for multi-scan registration
Presenter(s):
[Huang]
[Liang]
[Huang]
[SIGGRAPH 2020]
Adaptive Incident Radiance Field Sampling and Reconstruction Using Deep Reinforcement Learning
Presenter(s):
[Huo]
[Wang]
[Zheng]
[Xu]
[Bao]
[Yoon]
[SIGGRAPH 2020]
Computational Parquetry: Fabricated Style Transfer With Wood Pixels
Presenter(s):
[Iseringhausen]
[Weinmann]
[Huang]
[Hullin]
[SIGGRAPH 2020]
Non-line-of-sight Reconstruction Using Efficient Transient Rendering
Presenter(s):
[Iseringhausen]
[Hullin]
[SIGGRAPH 2020]
A Model for Soap Film Dynamics with Evolving Thickness
Presenter(s):
[Ishida]
[Synak]
[Narita]
[Hachisuka]
[Wojtan]
[SIGGRAPH 2020]
Phong deformation: a better C0 interpolant for embedded deformation
Presenter(s):
[James]
[SIGGRAPH 2020]
Complete Classification and Efficient Determination of Arrangements Formed by Two Ellipsoids
Presenter(s):
[Jia]
[Tu]
[Mourrain]
[Wang]
[SIGGRAPH 2020]
Example-driven Virtual Cinematography by Learning CameraBehaviors
Presenter(s):
[Jiang]
[Wang]
[Wang]
[Christie]
[Chen]
[SIGGRAPH 2020]
Quad-mesh Based Isometric Mappings and Developable Surfaces
Presenter(s):
[Jiang]
[Wang]
[Rist]
[Wallner]
[Pottmann]
[SIGGRAPH 2020]
Manipulating Attributes of Natural Scenes via Hallucination
Presenter(s):
[Karacan]
[Akata]
[Erdem]
[Erdem]
[SIGGRAPH 2020]
Massively Parallel Rendering of Complex Closed-form Implicit Surfaces
Presenter(s):
[Keeter]
[SIGGRAPH 2020]
Lagrangian Neural Style Transfer for Fluids
Presenter(s):
[Kim]
[Azevedo]
[Gross]
[Solenthaler]
[SIGGRAPH 2020]
Gaze-Contingent Ocular Parallax Rendering for Virtual Reality
Presenter(s):
[Konrad]
[Angelopoulos]
[Wetzstein]
[SIGGRAPH 2020]
One Shot 3D Photography
Presenter(s):
[Kopf]
[Matzen]
[Alsisan]
[Quigley]
[Ge]
[Chong]
[Patterson]
[Frahm]
[Wu]
[Yu]
[Zhang]
[He]
[Vajda]
[Saraf]
[Cohen]
[SIGGRAPH 2020]
Interferometric Transmission Probing with Coded Mutual Intensity
Presenter(s):
[Kotwal]
[Levin]
[Gkioulekas]
[SIGGRAPH 2020]
Sequential Gallery for Interactive Visual Design Optimization
Presenter(s):
[Koyama]
[Sato]
[Goto]
[SIGGRAPH 2020]
High Resolution Étendue Expansion for Holographic Displays
Presenter(s):
[Kuo]
[Waller]
[Ng]
[Maimone]
[SIGGRAPH 2020]
Fast and Flexible Multilegged Locomotion Using Learned Centroidal Dynamics
Presenter(s):
[Kwon]
[Lee]
[Panne]
[SIGGRAPH 2020]
Medial Elastics: Efficient and Collision-ready Deformation via Medial Axis Transform
Presenter(s):
[Lan]
[Luo]
[Fratarcangeli]
[Xu]
[Wang]
[Guo]
[Yao]
[Yang]
[SIGGRAPH 2020]
Exertion-aware Path Generation
Presenter(s):
[Li]
[Xie]
[Zhang]
[Meiss]
[Huang]
[Yu]
[SIGGRAPH 2020]
Fast and Scalable Turbulent Flow Simulation with Two-Way Coupling
Presenter(s):
[Li]
[Chen]
[Desbrun]
[Zheng]
[Liu]
[SIGGRAPH 2020]
Incremental Potential Contact: Intersection- and Inversion-free,Large-Deformation Dynamics
Presenter(s):
[Li]
[Ferguson]
[Schneider]
[Langlois]
[Zorin]
[Panozzo]
[Jiang]
[Kaufman]
[SIGGRAPH 2020]
Character Controllers using Motion VAEs
Presenter(s):
[Ling]
[Zinno]
[Cheng]
[Panne]
[SIGGRAPH 2020]
HeadBlaster: A Wearable Approach to Simulating Motion Perceptionusing Head-mounted Air Propulsion Jets
Presenter(s):
[Liu]
[Yen]
[Mao]
[Lin]
[Chandra]
[Chen]
[SIGGRAPH 2020]
Real-time Image Smoothing via Iterative Least Squares
Presenter(s):
[Liu]
[Zhang]
[Huang]
[Yang]
[Shen]
[SIGGRAPH 2020]
LoopyCuts: practical feature-preserving block decomposition for strongly hex-dominant meshing
Presenter(s):
[Livesu]
[Pietroni]
[Puppo]
[Sheffer]
[Cignoni]
[SIGGRAPH 2020]
Langevin monte carlo rendering with gradient-based adaptation
Presenter(s):
[Luan]
[Zhao]
[Bala]
[Gkioulekas]
[SIGGRAPH 2020]
CARL: Controllable Agent with Reinforcement Learning forQuadruped Locomotion
Presenter(s):
[Luo]
[Soeseno]
[Chen]
[Chen]
[SIGGRAPH 2020]
Consistent Video Depth Estimation
Presenter(s):
[Luo]
[Huang]
[Szeliski]
[Matzen]
[Kopf]
[SIGGRAPH 2020]
Projective Dynamics with Dry Frictional Contact
Presenter(s):
[Ly]
[Jouve]
[Boissieux]
[Bertails-Descoubes]
[SIGGRAPH 2020]
Quanta Burst Photography
Presenter(s):
[Ma]
[Gupta]
[Ulku]
[Bruschini]
[Charbon]
[Gupta]
[SIGGRAPH 2020]
Computational Design of Skintight Clothing
Presenter(s):
[Maestre]
[Thomaszewski]
[Mudur]
[Popa]
[SIGGRAPH 2020]
Holographic Optics for Thin and Lightweight Virtual Reality
Presenter(s):
[Maimone]
[Wang]
[SIGGRAPH 2020]
The leopard never changes its spots: realistic pigmentation pattern formation by coupling tissue growth with reaction-diffusion
Presenter(s):
[Malheiros]
[Fensterseifer]
[Walter]
[SIGGRAPH 2020]
Bézier Guarding: Precise Higher-Order Meshing of Curved 2D Domains
Presenter(s):
[Mandad]
[Campen]
[SIGGRAPH 2020]
DeepMag: Source Specific Motion Magnification Using Gradient Ascent
Presenter(s):
[McDuff]
[Chen]
[SIGGRAPH 2020]
XNect: Real-time Multi-Person 3D Motion Capture with a Single RGBCamera
Presenter(s):
[Mehta]
[Sotnychenko]
[Mueller]
[Xu]
[Elgharib]
[Fua]
[Seidel]
[Rhodin]
[Pons-Moll]
[Theobalt]
[SIGGRAPH 2020]
Catch & Carry: Reusable Neural Controllers for Vision-GuidedWhole-Body Tasks
Presenter(s):
[Merel]
[Tunyasuvunakool]
[Ahuja]
[Tassa]
[Hasenclever]
[Pham]
[Erez]
[Wayne]
[Heess]
[SIGGRAPH 2020]
Resampling-aware Weighting Functions for Bidirectional Path Tracing Using Multiple Light Sub-paths
Presenter(s):
[Nabata]
[Iwasaki]
[Dobashi]
[SIGGRAPH 2020]
A Level-Set Method for Magnetic Substance Simulation
Presenter(s):
[Ni]
[Zhu]
[Wang]
[Chen]
[SIGGRAPH 2020]
Radiative backpropagation: an adjoint method for lightning-fast differentiable rendering
Presenter(s):
[Nimier-David]
[Speierer]
[Ruiz]
[Jakob]
[SIGGRAPH 2020]
Algebraic Representations for Volumetric Frame Fields
Presenter(s):
[Palmer]
[Bommes]
[Solomon]
[SIGGRAPH 2020]
Tactile Line Drawings for Improved Shape Understanding in Blind and Visually Impaired Users
Presenter(s):
[Panotopoulou]
[Zhang]
[Qiu]
[Yang]
[Whiting]
[SIGGRAPH 2020]
Sliced optimal transport sampling
Presenter(s):
[Paulin]
[Bonneel]
[Coeurjolly]
[Iehl]
[Webanck]
[Desbrun]
[Ostromoukhov]
[SIGGRAPH 2020]
Principal Symmetric Meshes
Presenter(s):
[Pellis]
[Wang]
[Kilian]
[Rist]
[Pottmann]
[Mueller]
[SIGGRAPH 2020]
On Elastic Geodesic Grids and Their Planar to Spatial Deployment
Presenter(s):
[Pillwein]
[Leimer]
[Birsak]
[Musialski]
[SIGGRAPH 2020]
Fabrication-in-the-Loop Co-Optimization of Surfaces and Styli for Drawing Haptics
Presenter(s):
[Piovarči]
[Kaufman]
[Levin]
[Didyk]
[SIGGRAPH 2020]
GS-PAT: High-speed Multi-point Sound-fields for Phased Arrays of Transducers
Presenter(s):
[Plasencia]
[Hirayama]
[Murillo]
[Subramanian]
[SIGGRAPH 2020]
Variance-aware path guiding
Presenter(s):
[Rath]
[Grittmann]
[Herholz]
[Vévoda]
[Slusallek]
[Křivánek]
[SIGGRAPH 2020]
Microfacet BSDFs Generated From NDFs, Using Explicit Microgeometry
Presenter(s):
[Ribardière]
[Bringier]
[Simonot]
[Meneveaux]
[SIGGRAPH 2020]
Delayed Rejection Metropolis Light Transport
Presenter(s):
[Rioux-Lavoie]
[Litalien]
[Gruson]
[Hachisuka]
[Nowrouzezahrai]
[SIGGRAPH 2020]
Single-Shot High-Quality Facial Geometry and Skin Appearance Capture
Presenter(s):
[Riviere]
[Gotardo]
[Bradley]
[Ghosh]
[Beeler]
[SIGGRAPH 2020]
Corner-Operated Tran-Similar (COTS) Maps, Patterns, and Lattices
Presenter(s):
[Rossignac]
[SIGGRAPH 2020]
Robust fitting of parallax-aware mixtures for path guiding
Presenter(s):
[Ruppert]
[Herholz]
[Lensch]
[SIGGRAPH 2020]
Robust Eulerian-on-Lagrangian Rods
Presenter(s):
[Sánchez-Banderas]
[Rodríguez]
[Barreiro]
[Otaduy]
[SIGGRAPH 2020]
Single Image HDR Reconstruction Using a CNN with Masked Featuresand Perceptual Loss
Presenter(s):
[Santos]
[Ren]
[Kalantari]
[SIGGRAPH 2020]
KRISM – Krylov Subspace-based Optical Computing of Hyperspectral Images
Presenter(s):
[Saragadam]
[Sankaranarayanan]
[SIGGRAPH 2020]
Monte Carlo Geometry Processing: A Grid-Free Approach to PDE-Based Methods on Volumetric Domains
Presenter(s):
[Sawhney]
[Crane]
[SIGGRAPH 2020]
Inter-surface Maps via Constant-curvature Metrics
Presenter(s):
[Schmidt]
[Campen]
[Born]
[Kobbelt]
[SIGGRAPH 2020]
The Eyes Have It: An Integrated Eye and Face Model for Photorealistic Facial Animation
Presenter(s):
[Schwartz]
[Wei]
[Wang]
[Lombardi]
[Simon]
[Saragih]
[Sheikh]
[SIGGRAPH 2020]
Developability of Heightfields via Rank Minimization
Presenter(s):
[Sellán]
[Aigerman]
[Jacobson]
[SIGGRAPH 2020]
Unsupervised K-modal styled content generation
Presenter(s):
[Sendik]
[Lischinski]
[Cohen-Or]
[SIGGRAPH 2020]
The Design and Evolution of the UberBake Light Baking System
Presenter(s):
[Seyb]
[Sloan]
[Silvennoinen]
[Iwanicki]
[Jarosz]
[SIGGRAPH 2020]
Nonlinear Color Triads for Approximation, Learning, and Direct Manipulation of Color Distributions
Presenter(s):
[Shugrina]
[Kar]
[Fidler]
[Singh]
[SIGGRAPH 2020]
Wave Curves: Simulating Lagrangian water waves on dynamically deforming surfaces
Presenter(s):
[Skrivan]
[Soderstrom]
[Johansson]
[Sprenger]
[Museth]
[Wojtan]
[SIGGRAPH 2020]
Accurate Face Rig Approximation with Deep Differential SubspaceReconstruction
Presenter(s):
[Song]
[Shi]
[Reed]
[SIGGRAPH 2020]
Colored Fused Filament Fabrication
Presenter(s):
[Song]
[Martínez]
[Bedell]
[Vennin]
[Lefebvre]
[SIGGRAPH 2020]
Local Motion Phases for Learning Multi-Contact Character Movements
Presenter(s):
[Starke]
[Zhao]
[Komura]
[Zaman]
[SIGGRAPH 2020]
A Smoothness Energy Without Boundary Distortion for Curved Surfaces
Presenter(s):
[Stein]
[Jacobson]
[Wardetzky]
[Grinspun]
[SIGGRAPH 2020]
Accurate Rendering of Liquid-crystals and Inhomogeneous Optically Anisotropic Media
Presenter(s):
[Steinberg]
[SIGGRAPH 2020]
End-to-end Learned, Optically Coded Super-resolution SPAD Camera
Presenter(s):
[Sun]
[Zhang]
[Dun]
[Ghanem]
[Peng]
[Heidrich]
[SIGGRAPH 2020]
MichiGAN: Multi-Input-Conditioned Hair Image Generation for Portrait Editing
Presenter(s):
[Tan]
[Chai]
[Chen]
[Liao]
[Chu]
[Yuan]
[Tulyakov]
[Yu]
[SIGGRAPH 2020]
Interactive Video Stylization Using Few-Shot Patch-Based Training
Presenter(s):
[Texler]
[Futschik]
[Kučera]
[Jamriška]
[Sochorová]
[Chai]
[Tulyakov]
[Sýkora]
[SIGGRAPH 2020]
A Low-parametric Rhombic Microstructure Family for Irregular Lattices
Presenter(s):
[Tozoni]
[Dumas]
[Jiang]
[Panetta]
[Panozzo]
[Zorin]
[SIGGRAPH 2020]
Tactile Rendering Based on Skin Stress Optimization
Presenter(s):
[Verschoor]
[Casas]
[Otaduy]
[SIGGRAPH 2020]
A Massively Parallel and Scalable Multi-GPU Material Point Method
Presenter(s):
[Wang]
[Qiu]
[Slattery]
[Fang]
[Li]
[Zhu]
[Zhu]
[Tang]
[Manocha]
[Jiang]
[SIGGRAPH 2020]
Attribute2Font: Creating Fonts You Want From Attributes
Presenter(s):
[Wang]
[Gao]
[Lian]
[SIGGRAPH 2020]
Codimensional Surface Tension Flow using Moving-Least-SquaresParticles
Presenter(s):
[Wang]
[Jin]
[Luo]
[Yang]
[Zhu]
[SIGGRAPH 2020]
Dynamic Graph CNN for Learning on Point Clouds
Presenter(s):
[Wang]
[Sun]
[Liu]
[Sarma]
[Bronstein]
[Solomon]
[SIGGRAPH 2020]
Exact and efficient polyhedral envelope containment check
Presenter(s):
[Wang]
[Schneider]
[Hu]
[Attene]
[Panozzo]
[SIGGRAPH 2020]
Example-based Microstructure Rendering With Constant Storage
Presenter(s):
[Wang]
[Hasan]
[Holzschuch]
[Yan]
[SIGGRAPH 2020]
Hierarchical Optimization Time Integration for CFL-rate MPM Stepping
Presenter(s):
[Wang]
[Li]
[Fang]
[Zhang]
[Gao]
[Tang]
[Kaufman]
[Jiang]
[SIGGRAPH 2020]
MGCN: Descriptor Learning Using Multiscale GCNs
Presenter(s):
[Wang]
[Ren]
[Yan]
[Guo]
[Zhang]
[Wonka]
[SIGGRAPH 2020]
Vid2Curve: simultaneous camera motion estimation and thin structure reconstruction from an RGB video
Presenter(s):
[Wang]
[Liu]
[Chen]
[Chu]
[Theobalt]
[Wang]
[SIGGRAPH 2020]
Continuous multiple importance sampling
Presenter(s):
[West]
[Georgiev]
[Gruson]
[Hachisuka]
[SIGGRAPH 2020]
CNNs on Surfaces using Rotation-Equivariant Features
Presenter(s):
[Wiersma]
[Eisemann]
[Hildebrandt]
[SIGGRAPH 2020]
Enlighten Me: Importance of Brightness and Shadow for Character Emotion and Appeal
Presenter(s):
[Wisessing]
[Zibrek]
[Cunningham]
[Dingliana]
[McDonnell]
[SIGGRAPH 2020]
AnisoMPM: Animating Anisotropic Damage Mechanics
Presenter(s):
[Wolper]
[Chen]
[Li]
[Fang]
[Qu]
[Lu]
[Cheng]
[Jiang]
[SIGGRAPH 2020]
A Scalable Approach to Control Diverse Behaviors for PhysicallySimulated Characters
Presenter(s):
[Won]
[Gopinath]
[Hodgins]
[SIGGRAPH 2020]
Analytic spherical harmonic gradients for real-time rendering with many polygonal area lights
Presenter(s):
[Wu]
[Cai]
[Zhao]
[Ramamoorthi]
[SIGGRAPH 2020]
Automatic Structure Synthesis for 3D Woven Relief
Presenter(s):
[Wu]
[Harvey]
[Zhang]
[Kroszner]
[Hagan]
[Marschner]
[SIGGRAPH 2020]
Neural Supersampling for Real-time Rendering
Presenter(s):
[Xiao]
[Nouri]
[Chapman]
[Fix]
[Lanman]
[Kaplanyan]
[SIGGRAPH 2020]
RigNet: Neural Rigging for Articulated Characters
Presenter(s):
[Xu]
[Zhou]
[Kalogerakis]
[Landreth]
[Singh]
[SIGGRAPH 2020]
TilinGNN: Learning to Tile With Self-supervised Graph Neural Network
Presenter(s):
[Xu]
[Hui]
[Fu]
[Zhang]
[SIGGRAPH 2020]
Noise-resilient Reconstruction of Panoramas and 3D Scenes Using Robot-mounted Unsynchronized Commodity RGB-D Cameras
Presenter(s):
[Yang]
[Li]
[Cao]
[Fu]
[Lai]
[Kobbelt]
[Hu]
[SIGGRAPH 2020]
ARAnimator: In-situ Character Animation in Mobile AR withUser-defined Motion Gestures
Presenter(s):
[Ye]
[Kwan]
[Su]
[Fu]
[SIGGRAPH 2020]
Penrose: From Mathematical Notation to Beautiful Diagrams
Presenter(s):
[Ye]
[Ni]
[Krieger]
[Ma’ayan]
[Wise]
[Aldrich]
[Sunshine]
[Crane]
[SIGGRAPH 2020]
Specular Manifold Sampling for Rendering High-frequency Caustics and Glints
Presenter(s):
[Zeltner]
[Georgiev]
[Jakob]
[SIGGRAPH 2020]
C-Space Tunnel Discovery for Puzzle Path Planning
Presenter(s):
[Zhang]
[Belfer]
[Kry]
[Vouga]
[SIGGRAPH 2020]
Deep Generative Modeling for Scene Synthesis via Hybrid Representations
Presenter(s):
[Zhang]
[Yang]
[Ma]
[Luo]
[Huth]
[Vouga]
[Huang]
[SIGGRAPH 2020]
Generating Digital Painting Lighting Effects via RGB-space Geometry
Presenter(s):
[Zhang]
[Simo-Serra]
[Ji]
[Liu]
[SIGGRAPH 2020]
Octahedral Frames for Feature-Aligned Cross-Fields
Presenter(s):
[Zhang]
[Vehkter]
[Chien]
[Bommes]
[Vouga]
[Solomon]
[SIGGRAPH 2020]
Path-space differentiable rendering
Presenter(s):
[Zhang]
[Miller]
[Yan]
[Gkioulekas]
[Zhao]
[SIGGRAPH 2020]
![A Level-Set Method for Magnetic Substance Simulation](https://history.siggraph.org/wp-content/uploads/2023/01/2020-Technical-Papers-Ni_A-Level-Set-Method-for-Magnetic-Substance-Simulation-150x150.jpg)
A Level-Set Method for Magnetic Substance Simulation Presenter(s): [Ni] [Zhu] [Wang] [Chen]
[SIGGRAPH 2020]
![A Low-parametric Rhombic Microstructure Family for Irregular Lattices](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Tozoni_A-Low-Parametric-Rhombic-Microstructure-Family-Irregular-Lattices-150x150.jpg)
A Low-parametric Rhombic Microstructure Family for Irregular Lattices Presenter(s): [Tozoni] [Dumas] [Jiang] [Panetta] [Panozzo] [Zorin]
[SIGGRAPH 2020]
![A Luminance-aware Model of Judder Perception](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Chapiro_A-Luminance-aware-Model-of-Judder-Perception-150x150.jpg)
A Luminance-aware Model of Judder Perception Presenter(s): [Chapiro] [Atkins] [Daly]
[SIGGRAPH 2020]
![A Massively Parallel and Scalable Multi-GPU Material Point Method](https://history.siggraph.org/wp-content/uploads/2023/01/2020-Technical-Papers-Wang_A-Massively-Parallel-and-Scalable-Multi-GPU-Material-Point-Method-150x150.jpg)
A Massively Parallel and Scalable Multi-GPU Material Point Method Presenter(s): [Wang] [Qiu] [Slattery] [Fang] [Li] [Zhu] [Zhu] [Tang] [Manocha] [Jiang]
[SIGGRAPH 2020]
![A Model for Soap Film Dynamics with Evolving Thickness](https://history.siggraph.org/wp-content/uploads/2023/01/2020-Technical-Papers-Ishida_A-Model-for-Soap-Film-Dynamics-with-Evolving-Thickness-150x150.jpg)
A Model for Soap Film Dynamics with Evolving Thickness Presenter(s): [Ishida] [Synak] [Narita] [Hachisuka] [Wojtan]
[SIGGRAPH 2020]
![A perceptual model of motion quality for rendering with adaptive refresh-rate and resolution](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Denes_A-perceptual-model-of-motion-quality-for-rendering-with-adaptive-refresh-rate-and-resolution-150x150.jpg)
A perceptual model of motion quality for rendering with adaptive refresh-rate and resolution Presenter(s): [Denes] [Jindal] [Mikhailiuk] [Mantiuk]
[SIGGRAPH 2020]
![A Practical Octree Liquid Simulator with Adaptive Surface Resolution](https://history.siggraph.org/wp-content/uploads/2023/01/2020-Techinical-Paper-Ando_A-Practical-Octree-Liquid-Simulator-with-Adaptive-Surface-Resolution-150x150.jpg)
A Practical Octree Liquid Simulator with Adaptive Surface Resolution Presenter(s): [Ando] [Batty]
[SIGGRAPH 2020]
![A Scalable Approach to Control Diverse Behaviors for PhysicallySimulated Characters](https://history.siggraph.org/wp-content/uploads/2023/01/2020-technical-Papers-Won_A-Scalable-Approach-to-Control-Diverse-Behaviors-for-Physically-Simulated-Characters-150x150.jpg)
A Scalable Approach to Control Diverse Behaviors for PhysicallySimulated Characters Presenter(s): [Won] [Gopinath] [Hodgins]
[SIGGRAPH 2020]
![A Smoothness Energy Without Boundary Distortion for Curved Surfaces](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Stein_A-Smoothness-Energy-Without-Boundary-Distortion-for-Curved-Surfaces-150x150.jpg)
A Smoothness Energy Without Boundary Distortion for Curved Surfaces Presenter(s): [Stein] [Jacobson] [Wardetzky] [Grinspun]
[SIGGRAPH 2020]
![A System for Efficient 3D Printed Stop-motion Face Animation](https://history.siggraph.org/wp-content/uploads/2022/07/2020-SIGGRAPH-Image-Not-Available-150x150.jpg)
A System for Efficient 3D Printed Stop-motion Face Animation Presenter(s): [Abdrashitov] [Jacobson] [Singh]
[SIGGRAPH 2020]
![Accurate Face Rig Approximation with Deep Differential SubspaceReconstruction](https://history.siggraph.org/wp-content/uploads/2023/01/2020-Technical-Papers-Song_Accurate-Face-Rig-Approximation-with-Deep-Differential-Subspace-Reconstruction-150x150.jpg)
Accurate Face Rig Approximation with Deep Differential SubspaceReconstruction Presenter(s): [Song] [Shi] [Reed]
[SIGGRAPH 2020]
![Accurate Rendering of Liquid-crystals and Inhomogeneous Optically Anisotropic Media](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Steinberg_Accurate-Rendering-of-Liquid-crystals-and-Inhomogeneous-Optically-Anisotropic-Media-150x150.jpg)
Accurate Rendering of Liquid-crystals and Inhomogeneous Optically Anisotropic Media Presenter(s): [Steinberg]
[SIGGRAPH 2020]
![Adaptive Incident Radiance Field Sampling and Reconstruction Using Deep Reinforcement Learning](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Huo_Adaptive-Incident-Radiance-Field-Sampling-and-Reconstruction-Using-Deep-Reinforcement-Learning-150x150.jpg)
Adaptive Incident Radiance Field Sampling and Reconstruction Using Deep Reinforcement Learning Presenter(s): [Huo] [Wang] [Zheng] [Xu] [Bao] [Yoon]
[SIGGRAPH 2020]
![Adaptive Merging for Rigid Body Simulation](https://history.siggraph.org/wp-content/uploads/2023/01/2020-Technical-Papers-Coevoet_Adaptive-Merging-for-Rigid-Body-Simulation-150x150.jpg)
Adaptive Merging for Rigid Body Simulation Presenter(s): [Coevoet] [Benchekroun] [Kry]
[SIGGRAPH 2020]
![Algebraic Representations for Volumetric Frame Fields](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Palmer_Algebraic-Representations-for-Volumetric-Frame-Fields-150x150.jpg)
Algebraic Representations for Volumetric Frame Fields Presenter(s): [Palmer] [Bommes] [Solomon]
[SIGGRAPH 2020]
![An Implicit Compressible SPH Solver for Snow Simulation](https://history.siggraph.org/wp-content/uploads/2023/01/2020-Technical-Papers-Gissler_An-Implicit-Compressible-SPH-Solver-for-Snow-Simulation-150x150.jpg)
An Implicit Compressible SPH Solver for Snow Simulation Presenter(s): [Gissler] [Henne] [Band] [Peer] [Teschner]
[SIGGRAPH 2020]
![Analytic spherical harmonic gradients for real-time rendering with many polygonal area lights](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Wu_Analytic-Spherical-Harmonic-Gradients-for-Real-Time-Rendering-with-Many-Polygonal-Area-Lights-150x150.jpg)
Analytic spherical harmonic gradients for real-time rendering with many polygonal area lights Presenter(s): [Wu] [Cai] [Zhao] [Ramamoorthi]
[SIGGRAPH 2020]
![AnisoMPM: Animating Anisotropic Damage Mechanics](https://history.siggraph.org/wp-content/uploads/2023/01/2020-Technical-Papers-Wolper_AnisoMPM-Animating-Anisotropic-Damage-Mechanics-150x150.jpg)
AnisoMPM: Animating Anisotropic Damage Mechanics Presenter(s): [Wolper] [Chen] [Li] [Fang] [Qu] [Lu] [Cheng] [Jiang]
[SIGGRAPH 2020]
![ARAnimator: In-situ Character Animation in Mobile AR withUser-defined Motion Gestures](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Ye_ARAnimator-In-situ-Character-Animation-in-Mobile-AR-withUser-defined-Motion-Gestures-150x150.jpg)
ARAnimator: In-situ Character Animation in Mobile AR withUser-defined Motion Gestures Presenter(s): [Ye] [Kwan] [Su] [Fu]
[SIGGRAPH 2020]
![Attribute2Font: Creating Fonts You Want From Attributes](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Wang_Attribute2Font-Creating-Fonts-You-Want-From-Attributes-150x150.jpg)
Attribute2Font: Creating Fonts You Want From Attributes Presenter(s): [Wang] [Gao] [Lian]
[SIGGRAPH 2020]
![Automatic Structure Synthesis for 3D Woven Relief](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Wu_Automatic-Structure-Synthesis-for-3D-Woven-Relief-150x150.jpg)
Automatic Structure Synthesis for 3D Woven Relief Presenter(s): [Wu] [Harvey] [Zhang] [Kroszner] [Hagan] [Marschner]
[SIGGRAPH 2020]
![Bézier Guarding: Precise Higher-Order Meshing of Curved 2D Domains](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Mandad_Bezier-Guarding-150x150.jpg)
Bézier Guarding: Precise Higher-Order Meshing of Curved 2D Domains Presenter(s): [Mandad] [Campen]
[SIGGRAPH 2020]
![C-Space Tunnel Discovery for Puzzle Path Planning](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Zhang_C-Space-Tunnel-Discovery-for-Puzzle-Path-Planning-150x150.jpg)
C-Space Tunnel Discovery for Puzzle Path Planning Presenter(s): [Zhang] [Belfer] [Kry] [Vouga]
[SIGGRAPH 2020]
![Capturing Subjective First-Person View Shots With Drones for Automated Cinematography](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Ashtari_Capturing-Subjective-First-Person-View-Shots-With-Drones-for-Automated-Cinematography-150x150.jpg)
Capturing Subjective First-Person View Shots With Drones for Automated Cinematography Presenter(s): [Ashtari] [Stevsic] [Nägeli] [Bazin] [Hilliges]
[SIGGRAPH 2020]
![CARL: Controllable Agent with Reinforcement Learning forQuadruped Locomotion](https://history.siggraph.org/wp-content/uploads/2023/01/2020-Technical-Papers-Luo_CARL_-Controllable-Agent-with-Reinforcement-Learning-for-Quadruped-Locomotion-150x150.jpg)
CARL: Controllable Agent with Reinforcement Learning forQuadruped Locomotion Presenter(s): [Luo] [Soeseno] [Chen] [Chen]
[SIGGRAPH 2020]
![Catch & Carry: Reusable Neural Controllers for Vision-GuidedWhole-Body Tasks](https://history.siggraph.org/wp-content/uploads/2023/01/2020-Technical-Papers-Merel_Catch-_-Carry_-Reusable-Neural-Controllers-for-Vision-Guided-Whole-Body-Tasks-150x150.jpg)
Catch & Carry: Reusable Neural Controllers for Vision-GuidedWhole-Body Tasks Presenter(s): [Merel] [Tunyasuvunakool] [Ahuja] [Tassa] [Hasenclever] [Pham] [Erez] [Wayne] [Heess]
[SIGGRAPH 2020]
![Character Controllers using Motion VAEs](https://history.siggraph.org/wp-content/uploads/2023/01/2020-Technical-Papers-Ling_Character-Controllers-using-Motion-VAEs-150x150.jpg)
Character Controllers using Motion VAEs Presenter(s): [Ling] [Zinno] [Cheng] [Panne]
[SIGGRAPH 2020]
![Chemomechanical Simulation of Soap Film Flow on Spherical Bubbles](https://history.siggraph.org/wp-content/uploads/2023/01/2020-Technical-Papers-Huang_Chemomechanical-Simulation-of-Soap-Film-Flow-on-Spherical-Bubbles-150x150.jpg)
Chemomechanical Simulation of Soap Film Flow on Spherical Bubbles Presenter(s): [Huang] [Iseringhausen] [Kneiphof] [Qu] [Jiang] [Hullin]
[SIGGRAPH 2020]
![CNNs on Surfaces using Rotation-Equivariant Features](https://history.siggraph.org/wp-content/uploads/2022/08/2020-Technical-Papers-Wiersma_CNNs-on-Surfaces-using-Rotation-Equivariant-Features-150x150.jpg)
CNNs on Surfaces using Rotation-Equivariant Features Presenter(s): [Wiersma] [Eisemann] [Hildebrandt]
[SIGGRAPH 2020]
![Code Replicability in Computer Graphics](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Bonneel_Code-Replicability-in-Computer-Graphics-150x150.jpg)
Code Replicability in Computer Graphics Presenter(s): [Bonneel] [Coeurjolly] [Digne] [Mellado]
[SIGGRAPH 2020]
![Codimensional Surface Tension Flow using Moving-Least-SquaresParticles](https://history.siggraph.org/wp-content/uploads/2023/01/2020-Technical-Papers-Wang_Codimensional-Surface-Tension-Flow-using-Moving-Least-Squares-Particles-150x150.jpg)
Codimensional Surface Tension Flow using Moving-Least-SquaresParticles Presenter(s): [Wang] [Jin] [Luo] [Yang] [Zhu]
[SIGGRAPH 2020]
![Colored Fused Filament Fabrication](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Song_Colored-Fused-Filament-Fabrication-150x150.jpg)
Colored Fused Filament Fabrication Presenter(s): [Song] [Martínez] [Bedell] [Vennin] [Lefebvre]
[SIGGRAPH 2020]
![Complete Classification and Efficient Determination of Arrangements Formed by Two Ellipsoids](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Jia_Complete-Classification-and-Efficient-Determination-of-Arrangements-Formed-by-Two-Ellipsoids-150x150.jpg)
Complete Classification and Efficient Determination of Arrangements Formed by Two Ellipsoids Presenter(s): [Jia] [Tu] [Mourrain] [Wang]
[SIGGRAPH 2020]
![Compositional Neural Scene Representations for Shading Inference](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Granskog_Compositional-Neural-Scene-Representaitons-for-Shading-Inference-150x150.jpg)
Compositional Neural Scene Representations for Shading Inference Presenter(s): [Granskog] [Rousselle] [Papas] [Novák]
[SIGGRAPH 2020]
![Computational Design of Skintight Clothing](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Montes_Computational-Design-of-Skintight-Clothing-150x150.jpg)
Computational Design of Skintight Clothing Presenter(s): [Maestre] [Thomaszewski] [Mudur] [Popa]
[SIGGRAPH 2020]
![Computational Image Marking on Metals via Laser Induced Heating](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Cucerca_Computational-Image-Marking-on-Metals-via-Laser-Induced-Heating-150x150.jpg)
Computational Image Marking on Metals via Laser Induced Heating Presenter(s): [Cucerca] [Didyk] [Seidel] [Babaei]
[SIGGRAPH 2020]
![Computational Parquetry: Fabricated Style Transfer With Wood Pixels](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Iseringhausen_Computational-Parquetry-Fabricated-Style-Transfer-With-Wood-Pixels-150x150.jpg)
Computational Parquetry: Fabricated Style Transfer With Wood Pixels Presenter(s): [Iseringhausen] [Weinmann] [Huang] [Hullin]
[SIGGRAPH 2020]
![Consistent Video Depth Estimation](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Luo_Consistent-Video-Depth-Estimation-150x150.jpg)
Consistent Video Depth Estimation Presenter(s): [Luo] [Huang] [Szeliski] [Matzen] [Kopf]
[SIGGRAPH 2020]
![Constraint Bubbles and Affine Regions: Reduced Fluid Models forEfficient Immersed Bubbles and Flexible Spatial Coarsening](https://history.siggraph.org/wp-content/uploads/2023/01/2020-Technical-Papers-Goldade_Constraint-Bubbles-and-Affine-Regions_-Reduced-Fluid-Models-for-Efficient-Immersed-Bubbles-and-Flexible-Spatial-Coarsening-150x150.jpg)
Constraint Bubbles and Affine Regions: Reduced Fluid Models forEfficient Immersed Bubbles and Flexible Spatial Coarsening Presenter(s): [Goldade] [Aanjaneya] [Batty]
[SIGGRAPH 2020]
![Continuous multiple importance sampling](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-West_Continuous-Multiple-Importance-Sampling-150x150.jpg)
Continuous multiple importance sampling Presenter(s): [West] [Georgiev] [Gruson] [Hachisuka]
[SIGGRAPH 2020]
![Corner-Operated Tran-Similar (COTS) Maps, Patterns, and Lattices](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Rossignac_Corner-Operated-Tran-Similar-COTS-Maps-Patterns-and-Lattices-150x150.jpg)
Corner-Operated Tran-Similar (COTS) Maps, Patterns, and Lattices Presenter(s): [Rossignac]
[SIGGRAPH 2020]
![Cut-enhanced PolyCube-maps for feature-aware all-hex meshing](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Guo_Cut-enhanced-PolyCube-Maps-for-Feature-aware-All-Hex-Meshing-150x150.jpg)
Cut-enhanced PolyCube-maps for feature-aware all-hex meshing Presenter(s): [Guo] [Liu] [Yan] [Liu]
[SIGGRAPH 2020]
![Data-driven Extraction and Composition of Secondary Dynamics in Facial Performance Capture](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Zoss_Data-driven-Extraction-and-Composition-of-Secondary-Dynamics-in-Facial-Performance-Capture-150x150.jpg)
Data-driven Extraction and Composition of Secondary Dynamics in Facial Performance Capture Presenter(s): [Zoss] [Sifakis] [Gross] [Beeler] [Bradley]
[SIGGRAPH 2020]
![Deep Generative Modeling for Scene Synthesis via Hybrid Representations](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Zhang_Deep-Generative-Modeling-for-Scene-Synthesis-via-Hybrid-Representations-150x150.jpg)
Deep Generative Modeling for Scene Synthesis via Hybrid Representations Presenter(s): [Zhang] [Yang] [Ma] [Luo] [Huth] [Vouga] [Huang]
[SIGGRAPH 2020]
![Deep Geometric Texture Synthesis](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Hertz_Deep-Geometric-Texture-Synthesis-150x150.jpg)
Deep Geometric Texture Synthesis Presenter(s): [Hertz] [Hanocka] [Giryes] [Cohen-Or]
[SIGGRAPH 2020]
![DeepFaceDrawing: Deep Generation of Face Images from Sketches](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-papers-Chen_DeepFaceDrawing-Deep-Generation-of-Face-Images-from-Sketches-150x150.jpg)
DeepFaceDrawing: Deep Generation of Face Images from Sketches Presenter(s): [Chen] [Su] [Gao] [Xia] [Fu]
[SIGGRAPH 2020]
![DeepMag: Source Specific Motion Magnification Using Gradient Ascent](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Chen_DeepMag-Source-Specific-Motion-Magnification-Using-Gradient-Ascent-150x150.jpg)
DeepMag: Source Specific Motion Magnification Using Gradient Ascent Presenter(s): [McDuff] [Chen]
[SIGGRAPH 2020]
![Delayed Rejection Metropolis Light Transport](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Rioux-Lavoie_Delayed-Rejection-Metropolis-Light-Transport-150x150.jpg)
Delayed Rejection Metropolis Light Transport Presenter(s): [Rioux-Lavoie] [Litalien] [Gruson] [Hachisuka] [Nowrouzezahrai]
[SIGGRAPH 2020]
![Developability of Heightfields via Rank Minimization](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Sellan_Developability-of-Heightfields-via-Rank-Minimization-150x150.jpg)
Developability of Heightfields via Rank Minimization Presenter(s): [Sellán] [Aigerman] [Jacobson]
[SIGGRAPH 2020]
![Directional Sources and Listeners in Interactive Sound Propagation using Reciprocal Wave Field Coding](https://history.siggraph.org/wp-content/uploads/2023/01/2020-Technical-Papers-Chaitanya_Directional-Sources-and-Listeners-in-Interactive-Sound-Propagation-using-Reciprocal-Wave-Field-Coding-150x150.jpg)
Directional Sources and Listeners in Interactive Sound Propagation using Reciprocal Wave Field Coding Presenter(s): [Chaitanya] [Raghuvanshi] [Godin] [Zhang] [Nowrouzezahrai] [Snyder]
[SIGGRAPH 2020]
![Discrete Differential Operators on Polygonal Meshes](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-De-Goes_Discrete-Differential-Operators-on-Polygonal-Meshes-150x150.jpg)
Discrete Differential Operators on Polygonal Meshes Presenter(s): [Goes] [Butts] [Desbrun]
[SIGGRAPH 2020]
![Dynamic Graph CNN for Learning on Point Clouds](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Wang_Dynamic-Graph-CNN-for-Learning-on-Point-Clouds-150x150.jpg)
Dynamic Graph CNN for Learning on Point Clouds Presenter(s): [Wang] [Sun] [Liu] [Sarma] [Bronstein] [Solomon]
[SIGGRAPH 2020]
![End-to-end Learned, Optically Coded Super-resolution SPAD Camera](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Sun_End-to-end-Learned-Optically-Coded-Super-resolution-SPAD-Camera-150x150.jpg)
End-to-end Learned, Optically Coded Super-resolution SPAD Camera Presenter(s): [Sun] [Zhang] [Dun] [Ghanem] [Peng] [Heidrich]
[SIGGRAPH 2020]
![Enhanced Interactive 360° Viewing via Automatic Guidance](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Cha_Enhanced-Interactive-360-Viewing-via-Automatic-Guidance-150x150.jpg)
Enhanced Interactive 360° Viewing via Automatic Guidance Presenter(s): [Cha] [Lee] [Kim] [Noh]
[SIGGRAPH 2020]
![ENIGMA: evolutionary non-isometric geometry Matching](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Edelstein_ENIGMA-150x150.jpg)
ENIGMA: evolutionary non-isometric geometry Matching Presenter(s): [Edelstein] [Ezuz] [Ben-Chen]
[SIGGRAPH 2020]
![Enlighten Me: Importance of Brightness and Shadow for Character Emotion and Appeal](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Wisessing_Enlighten-Me-Importance-of-Brightness-and-Shadow-for-Character-Emotion-and-Appeal-150x150.jpg)
Enlighten Me: Importance of Brightness and Shadow for Character Emotion and Appeal Presenter(s): [Wisessing] [Zibrek] [Cunningham] [Dingliana] [McDonnell]
[SIGGRAPH 2020]
![Exact and efficient polyhedral envelope containment check](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Wang_Exact-and-Efficient-Polyhedral-Envelope-Containment-Check-150x150.jpg)
Exact and efficient polyhedral envelope containment check Presenter(s): [Wang] [Schneider] [Hu] [Attene] [Panozzo]
[SIGGRAPH 2020]
![Example-based Microstructure Rendering With Constant Storage](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Wang_Example-based-Microstructure-Rendering-With-Constant-Storage-150x150.jpg)
Example-based Microstructure Rendering With Constant Storage Presenter(s): [Wang] [Hasan] [Holzschuch] [Yan]
[SIGGRAPH 2020]
![Example-driven Virtual Cinematography by Learning CameraBehaviors](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Jiang_Example-driven-Virtual-Cinematography-by-Learning-Camera-Behaviors-150x150.jpg)
Example-driven Virtual Cinematography by Learning CameraBehaviors Presenter(s): [Jiang] [Wang] [Wang] [Christie] [Chen]
[SIGGRAPH 2020]
![Exertion-aware Path Generation](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Li_Exertion-Aware-Path-Generation-150x150.jpg)
Exertion-aware Path Generation Presenter(s): [Li] [Xie] [Zhang] [Meiss] [Huang] [Yu]
[SIGGRAPH 2020]
![Fabrication-in-the-Loop Co-Optimization of Surfaces and Styli for Drawing Haptics](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Piovarci_Fabrication-in-the-Loop-150x150.jpg)
Fabrication-in-the-Loop Co-Optimization of Surfaces and Styli for Drawing Haptics Presenter(s): [Piovarči] [Kaufman] [Levin] [Didyk]
[SIGGRAPH 2020]
![Fast and Deep Facial Deformations](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Bailey_Fast-and-Deep-Facial-Deformations-150x150.jpg)
Fast and Deep Facial Deformations Presenter(s): [Bailey] [Omens] [DiLorenzo] [O'Brien]
[SIGGRAPH 2020]
![Fast and Flexible Multilegged Locomotion Using Learned Centroidal Dynamics](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Kwon_Fast-and-Flexible-Multilegged-Locomotion-Using-Learned-Centroidal-Dynamics-150x150.jpg)
Fast and Flexible Multilegged Locomotion Using Learned Centroidal Dynamics Presenter(s): [Kwon] [Lee] [Panne]
[SIGGRAPH 2020]
![Fast and Scalable Turbulent Flow Simulation with Two-Way Coupling](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Li_Fast-and-Scalable-Turbulent-Flow-Simulation-with-Two-Way-Coupling-150x150.jpg)
Fast and Scalable Turbulent Flow Simulation with Two-Way Coupling Presenter(s): [Li] [Chen] [Desbrun] [Zheng] [Liu]
[SIGGRAPH 2020]
![Fast tetrahedral meshing in the wild](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Hu_Fast-Tetrahedral-Meshing-in-the-Wild-150x150.jpg)
Fast tetrahedral meshing in the wild Presenter(s): [Hu] [Schneider] [Wang] [Zorin] [Panozzo]
[SIGGRAPH 2020]
![Gaze-Contingent Ocular Parallax Rendering for Virtual Reality](https://history.siggraph.org/wp-content/uploads/2022/07/2020-SIGGRAPH-Image-Not-Available-150x150.jpg)
Gaze-Contingent Ocular Parallax Rendering for Virtual Reality Presenter(s): [Konrad] [Angelopoulos] [Wetzstein]
[SIGGRAPH 2020]
![Generating Digital Painting Lighting Effects via RGB-space Geometry](https://history.siggraph.org/wp-content/uploads/2022/07/2020-SIGGRAPH-Image-Not-Available-150x150.jpg)
Generating Digital Painting Lighting Effects via RGB-space Geometry Presenter(s): [Zhang] [Simo-Serra] [Ji] [Liu]
[SIGGRAPH 2020]
![Graph2Plan: Learning Floorplan Generation From Layout Graphs](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Hu_Graph2Plan-150x150.jpg)
Graph2Plan: Learning Floorplan Generation From Layout Graphs Presenter(s): [Hu] [Huang] [Tang] [Kaick] [Zhang] [Huang]
[SIGGRAPH 2020]
![GS-PAT: High-speed Multi-point Sound-fields for Phased Arrays of Transducers](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Plasencia_GS-PAT-150x150.jpg)
GS-PAT: High-speed Multi-point Sound-fields for Phased Arrays of Transducers Presenter(s): [Plasencia] [Hirayama] [Murillo] [Subramanian]
[SIGGRAPH 2020]
![HeadBlaster: A Wearable Approach to Simulating Motion Perceptionusing Head-mounted Air Propulsion Jets](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Liu_HeadBlaster-150x150.jpg)
HeadBlaster: A Wearable Approach to Simulating Motion Perceptionusing Head-mounted Air Propulsion Jets Presenter(s): [Liu] [Yen] [Mao] [Lin] [Chandra] [Chen]
[SIGGRAPH 2020]
![Hierarchical Optimization Time Integration for CFL-rate MPM Stepping](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Wang_Hierarchical-Optimization-Time-Integration-for-CFL-rate-MPM-Stepping-150x150.jpg)
Hierarchical Optimization Time Integration for CFL-rate MPM Stepping Presenter(s): [Wang] [Li] [Fang] [Zhang] [Gao] [Tang] [Kaufman] [Jiang]
[SIGGRAPH 2020]
![High Resolution Étendue Expansion for Holographic Displays](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Kuo_High-Resolution-Étendue-Expansion-for-Holographic-Displays-150x150.jpg)
High Resolution Étendue Expansion for Holographic Displays Presenter(s): [Kuo] [Waller] [Ng] [Maimone]
[SIGGRAPH 2020]
![Holographic Optics for Thin and Lightweight Virtual Reality](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Maimone_Holographic-Optics-for-Thin-and-Lightweight-Virtual-Reality-150x150.jpg)
Holographic Optics for Thin and Lightweight Virtual Reality Presenter(s): [Maimone] [Wang]
[SIGGRAPH 2020]
![Human-in-the-Loop Differential Subspace Search in High-DimensionalLatent Space](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Chiu_Human-in-the-Loop-150x150.jpg)
Human-in-the-Loop Differential Subspace Search in High-DimensionalLatent Space Presenter(s): [Chiu] [Koyama] [Lai] [Igarashi] [Yue]
[SIGGRAPH 2020]
![Image-Based Acquisition and Modeling of Polarimetric Reflectance](https://history.siggraph.org/wp-content/uploads/2022/08/2020-Technical-Papers-Baek_Image-Based-Acquisition-and-Modeling-of-Polarimetric-Reflectance-01-150x150.jpg)
Image-Based Acquisition and Modeling of Polarimetric Reflectance Presenter(s): [Baek] [Zeltner] [Ku] [Hwang] [Tong] [Jakob] [Kim]
[SIGGRAPH 2020]
![Immersive Light Field Video with a Layered Mesh Representation](https://history.siggraph.org/wp-content/uploads/2022/08/2020-Technical-Papers-Broxton_Immersive-Light-Field-Video-150x150.jpg)
Immersive Light Field Video with a Layered Mesh Representation Presenter(s): [Broxton] [Flynn] [Overbeck] [Erickson] [Hedman] [DuVall] [Dourgarian] [Whalen] [Busch] [Debevec]
[SIGGRAPH 2020]
![Incremental Potential Contact: Intersection- and Inversion-free,Large-Deformation Dynamics](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Li_Incremental-Potential-Contact_-Intersection-and-Inversion-free-Large-Deformation-Dynamics-150x150.jpg)
Incremental Potential Contact: Intersection- and Inversion-free,Large-Deformation Dynamics Presenter(s): [Li] [Ferguson] [Schneider] [Langlois] [Zorin] [Panozzo] [Jiang] [Kaufman]
[SIGGRAPH 2020]
![Informative Scene Decomposition for Crowd Analysis, Comparison andSimulation Guidance](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-He_Informative-Scene-Decomposition-for-Crowd-Analysis-Comparison-and-Simulation-Guidance-150x150.jpg)
Informative Scene Decomposition for Crowd Analysis, Comparison andSimulation Guidance Presenter(s): [He] [Xiang] [Zhao] [Wang]
[SIGGRAPH 2020]
![Inter-surface Maps via Constant-curvature Metrics](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Schmidt_Inter-Surface-Maps-via-Constant-Curvature-Metrics-150x150.jpg)
Inter-surface Maps via Constant-curvature Metrics Presenter(s): [Schmidt] [Campen] [Born] [Kobbelt]
[SIGGRAPH 2020]
![Interactive Video Stylization Using Few-Shot Patch-Based Training](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Texler_Interactive-Video-Stylization-Using-Few-Shot-Patch-Based-Training-150x150.jpg)
Interactive Video Stylization Using Few-Shot Patch-Based Training Presenter(s): [Texler] [Futschik] [Kučera] [Jamriška] [Sochorová] [Chai] [Tulyakov] [Sýkora]
[SIGGRAPH 2020]
![Interferometric Transmission Probing with Coded Mutual Intensity](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Kotwal_Interferometric-Transmission-Probing-with-Coded-Mutual-Intensity-150x150.jpg)
Interferometric Transmission Probing with Coded Mutual Intensity Presenter(s): [Kotwal] [Levin] [Gkioulekas]
[SIGGRAPH 2020]
![Inverse Procedural Modeling of Branching Structures by Inferring L-Systems](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Guo_Inverse-Procedural-Modeling-of-Branching-Structures-by-Inferring-L-Systems-150x150.jpg)
Inverse Procedural Modeling of Branching Structures by Inferring L-Systems Presenter(s): [Guo] [Jiang] [Benes] [Deussen] [Zhang] [Lischinski] [Huang]
[SIGGRAPH 2020]
![IQ-MPM: An Interface Quadrature Material Point Method forNon-sticky Strongly Two-Way Coupled Nonlinear Solids and Fluids](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Fang_IQ-MPM_-An-Interface-Quadrature-Material-Point-Method-for-Non-sticky-Strongly-Two-Way-Coupled-Nonlinear-Solids-and-Fluids-150x150.jpg)
IQ-MPM: An Interface Quadrature Material Point Method forNon-sticky Strongly Two-Way Coupled Nonlinear Solids and Fluids Presenter(s): [Fang] [Qu] [Li] [Zhang] [Zhu] [Aanjaneya] [Jiang]
[SIGGRAPH 2020]
![KRISM – Krylov Subspace-based Optical Computing of Hyperspectral Images](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Saragadam_KRISM-–-Krylov-Subspace-based-Optical-Computing-of-Hyperspectral-Images-150x150.jpg)
KRISM – Krylov Subspace-based Optical Computing of Hyperspectral Images Presenter(s): [Saragadam] [Sankaranarayanan]
[SIGGRAPH 2020]
![Lagrangian Neural Style Transfer for Fluids](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Kim_Lagrangian-Neural-Style-Transfer-for-Fluids-150x150.jpg)
Lagrangian Neural Style Transfer for Fluids Presenter(s): [Kim] [Azevedo] [Gross] [Solenthaler]
[SIGGRAPH 2020]
![Langevin monte carlo rendering with gradient-based adaptation](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Luan_Langevin-Monte-Carlo-Rendering-with-Gradient-based-Adaptation-150x150.jpg)
Langevin monte carlo rendering with gradient-based adaptation Presenter(s): [Luan] [Zhao] [Bala] [Gkioulekas]
[SIGGRAPH 2020]
![Learning Temporal Coherence via Self-Supervision for GAN-basedVideo Generation](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Chu_Learning-Temporal-Coherence-via-Self-Supervision-for-GAN-basedVideo-Generation-150x150.jpg)
Learning Temporal Coherence via Self-Supervision for GAN-basedVideo Generation Presenter(s): [Chu] [Xie] [Mayer] [Leal-Taixé] [Thuerey]
[SIGGRAPH 2020]
![Lifting Simplices to Find Injectivity](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Du_Lifting-Simplices-to-Find-Injectivity-150x150.jpg)
Lifting Simplices to Find Injectivity Presenter(s): [Du] [Aigerman] [Zhou] [Kovalsky] [Yan] [Kaufman] [Ju]
[SIGGRAPH 2020]
![Local Motion Phases for Learning Multi-Contact Character Movements](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Starke_Local-Motion-Phases-for-Learning-Multi-Contact-Character-Movements-150x150.jpg)
Local Motion Phases for Learning Multi-Contact Character Movements Presenter(s): [Starke] [Zhao] [Komura] [Zaman]
[SIGGRAPH 2020]
![LoopyCuts: practical feature-preserving block decomposition for strongly hex-dominant meshing](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Livesu_LoopyCuts-150x150.jpg)
LoopyCuts: practical feature-preserving block decomposition for strongly hex-dominant meshing Presenter(s): [Livesu] [Pietroni] [Puppo] [Sheffer] [Cignoni]
[SIGGRAPH 2020]
![Manipulating Attributes of Natural Scenes via Hallucination](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Karakan_Manipulating-Attributes-of-Natural-Scenes-via-Hallucination-150x150.jpg)
Manipulating Attributes of Natural Scenes via Hallucination Presenter(s): [Karacan] [Akata] [Erdem] [Erdem]
[SIGGRAPH 2020]
![Massively Parallel Rendering of Complex Closed-form Implicit Surfaces](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Keeter_Massively-Parallel-Rendering-of-Complex-Closed-Form-Implicit-Surfaces-150x150.jpg)
Massively Parallel Rendering of Complex Closed-form Implicit Surfaces Presenter(s): [Keeter]
[SIGGRAPH 2020]
![Medial Elastics: Efficient and Collision-ready Deformation via Medial Axis Transform](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Medial-Elastics-Efficient-and-Collision-ready-Deformation-via-Medial-Axis-Transform-150x150.jpg)
Medial Elastics: Efficient and Collision-ready Deformation via Medial Axis Transform Presenter(s): [Lan] [Luo] [Fratarcangeli] [Xu] [Wang] [Guo] [Yao] [Yang]
[SIGGRAPH 2020]
![MEgATrack: Monochrome Egocentric Articulated Hand-Tracking forVirtual Reality](https://history.siggraph.org/wp-content/uploads/2022/08/2020-Technical-Papers-Han_MEgATrack-150x150.jpg)
MEgATrack: Monochrome Egocentric Articulated Hand-Tracking forVirtual Reality Presenter(s): [Han] [Liu] [Cabezas] [Twigg] [Zhang] [Petkau] [Yu] [Tai] [Akbay] [Wang] [Nitzan] [Dong] [Ye] [Tao] [Wan] [Wang]
[SIGGRAPH 2020]
![MGCN: Descriptor Learning Using Multiscale GCNs](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Wang_MGCN-150x150.jpg)
MGCN: Descriptor Learning Using Multiscale GCNs Presenter(s): [Wang] [Ren] [Yan] [Guo] [Zhang] [Wonka]
[SIGGRAPH 2020]
![MichiGAN: Multi-Input-Conditioned Hair Image Generation for Portrait Editing](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Tan_MichiGAN-150x150.jpg)
MichiGAN: Multi-Input-Conditioned Hair Image Generation for Portrait Editing Presenter(s): [Tan] [Chai] [Chen] [Liao] [Chu] [Yuan] [Tulyakov] [Yu]
[SIGGRAPH 2020]
![Microfacet BSDFs Generated From NDFs, Using Explicit Microgeometry](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Ribardiere_Microfacet-BSDFs-Generated-From-NDFs-Using-Explicit-Microgeometry-150x150.jpg)
Microfacet BSDFs Generated From NDFs, Using Explicit Microgeometry Presenter(s): [Ribardière] [Bringier] [Simonot] [Meneveaux]
[SIGGRAPH 2020]
![Model Predictive Control With a Visuomotor System for Physics-based Character Animation](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Eom_Model-Predictive-Control-With-a-Visuomotor-System-for-Physics-based-Character-Animation-150x150.jpg)
Model Predictive Control With a Visuomotor System for Physics-based Character Animation Presenter(s): [Eom] [Han] [Shin] [Noh]
[SIGGRAPH 2020]
![Monte Carlo Geometry Processing: A Grid-Free Approach to PDE-Based Methods on Volumetric Domains](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Sawhney_Monte-Carlo-Geometry-Processing-A-Grid-Free-Approach-to-PDE-Based-Methods-on-Volumetric-Domains-150x150.jpg)
Monte Carlo Geometry Processing: A Grid-Free Approach to PDE-Based Methods on Volumetric Domains Presenter(s): [Sawhney] [Crane]
[SIGGRAPH 2020]
![NASOQ: Numerically Accurate Sparsity-Oriented QP Solver](https://history.siggraph.org/wp-content/uploads/2022/07/2020-SIGGRAPH-Image-Not-Available-150x150.jpg)
NASOQ: Numerically Accurate Sparsity-Oriented QP Solver Presenter(s): [Cheshmi] [Kaufman] [Kamil] [Dehnavi]
[SIGGRAPH 2020]
![Neural Supersampling for Real-time Rendering](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Xiao_Neural-Supersampling-for-Real-time-Rendering-150x150.jpg)
Neural Supersampling for Real-time Rendering Presenter(s): [Xiao] [Nouri] [Chapman] [Fix] [Lanman] [Kaplanyan]
[SIGGRAPH 2020]
![Noise-resilient Reconstruction of Panoramas and 3D Scenes Using Robot-mounted Unsynchronized Commodity RGB-D Cameras](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Yang_Noise-resilient-Reconstruction-of-Panoramas-and-3D-Scenes-Using-Robot-mounted-Unsynchronized-Commodity-RGB-D-Cameras-150x150.jpg)
Noise-resilient Reconstruction of Panoramas and 3D Scenes Using Robot-mounted Unsynchronized Commodity RGB-D Cameras Presenter(s): [Yang] [Li] [Cao] [Fu] [Lai] [Kobbelt] [Hu]
[SIGGRAPH 2020]
![Non-line-of-sight Reconstruction Using Efficient Transient Rendering](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Iseringhausen_Non-line-of-sight-Reconstruction-Using-Efficient-Transient-Rendering-150x150.jpg)
Non-line-of-sight Reconstruction Using Efficient Transient Rendering Presenter(s): [Iseringhausen] [Hullin]
[SIGGRAPH 2020]
![Nonlinear Color Triads for Approximation, Learning, and Direct Manipulation of Color Distributions](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Shugrina_Nonlinear-Color-Triads-for-Approximation-Learning-and-Direct-Manipulation-of-Color-Distributions-150x150.jpg)
Nonlinear Color Triads for Approximation, Learning, and Direct Manipulation of Color Distributions Presenter(s): [Shugrina] [Kar] [Fidler] [Singh]
[SIGGRAPH 2020]
![Octahedral Frames for Feature-Aligned Cross-Fields](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Zhang_Octahedral-Frames-for-Feature-Aligned-Cross-Fields-150x150.jpg)
Octahedral Frames for Feature-Aligned Cross-Fields Presenter(s): [Zhang] [Vehkter] [Chien] [Bommes] [Vouga] [Solomon]
[SIGGRAPH 2020]
![On Elastic Geodesic Grids and Their Planar to Spatial Deployment](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Pillwein_On-Elastic-Geodesic-Grids-150x150.jpg)
On Elastic Geodesic Grids and Their Planar to Spatial Deployment Presenter(s): [Pillwein] [Leimer] [Birsak] [Musialski]
[SIGGRAPH 2020]
![One Shot 3D Photography](https://history.siggraph.org/wp-content/uploads/2021/06/2020-Technical-Papers-Kopf_One-Shot-3D-Photography-150x150.jpg)
One Shot 3D Photography Presenter(s): [Kopf] [Matzen] [Alsisan] [Quigley] [Ge] [Chong] [Patterson] [Frahm] [Wu] [Yu] [Zhang] [He] [Vajda] [Saraf] [Cohen]
[SIGGRAPH 2020]
![Path-space differentiable rendering](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Zhang_Path-Space-Differentiable-Rendering-150x150.jpg)
Path-space differentiable rendering Presenter(s): [Zhang] [Miller] [Yan] [Gkioulekas] [Zhao]
[SIGGRAPH 2020]
![Penrose: From Mathematical Notation to Beautiful Diagrams](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Ye_PENROSE-150x150.jpg)
Penrose: From Mathematical Notation to Beautiful Diagrams Presenter(s): [Ye] [Ni] [Krieger] [Ma’ayan] [Wise] [Aldrich] [Sunshine] [Crane]
[SIGGRAPH 2020]
![Phong deformation: a better C0 interpolant for embedded deformation](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-James_Phong-Deformation-A-better-C-0-interpolant-for-embedded-deformation-150x150.jpg)
Phong deformation: a better C0 interpolant for embedded deformation Presenter(s): [James]
[SIGGRAPH 2020]
![Point2Mesh: A Self-prior for Deformable Meshes](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Hanocka_Point2Mesh-150x150.jpg)
Point2Mesh: A Self-prior for Deformable Meshes Presenter(s): [Hanocka] [Metzer] [Giryes] [Cohen-Or]
[SIGGRAPH 2020]
![PolyFit: Perception-Aligned Vectorization of Raster Clip-Art viaIntermediate Polygonal Fitting](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Dominici_PolyFit_-Perception-Aligned-Vectorization-of-Raster-Clip-Art-via-Intermediate-Polygonal-Fitting-150x150.jpg)
PolyFit: Perception-Aligned Vectorization of Raster Clip-Art viaIntermediate Polygonal Fitting Presenter(s): [Dominici] [Schertler] [Griffin] [Hoshyari] [Sigal] [Sheffer]
[SIGGRAPH 2020]
![Portrait Shadow Manipulation](https://history.siggraph.org/wp-content/uploads/2022/08/2020-Technical-Papers-Zhang_Portrait-Shadow-Manipulation-150x150.jpg)
Portrait Shadow Manipulation Presenter(s): [Zhang] [Barron] [Tsai] [Pandey] [Zhang] [Ng] [Jacobs]
[SIGGRAPH 2020]
![Principal Symmetric Meshes](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Pellis_Principal-Symmetric-Meshes-150x150.jpg)
Principal Symmetric Meshes Presenter(s): [Pellis] [Wang] [Kilian] [Rist] [Pottmann] [Mueller]
[SIGGRAPH 2020]
![Projective Dynamics with Dry Frictional Contact](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Ly_Projective-Dynamics-with-Dry-Frictional-Contact-150x150.jpg)
Projective Dynamics with Dry Frictional Contact Presenter(s): [Ly] [Jouve] [Boissieux] [Bertails-Descoubes]
[SIGGRAPH 2020]
![Quad-mesh Based Isometric Mappings and Developable Surfaces](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Jiang_Quad-mesh-based-isometric-mappings-and-developable-surfaces-150x150.jpg)
Quad-mesh Based Isometric Mappings and Developable Surfaces Presenter(s): [Jiang] [Wang] [Rist] [Wallner] [Pottmann]
[SIGGRAPH 2020]
![Quanta Burst Photography](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Ma_Quanta-Burst-Photography-150x150.jpg)
Quanta Burst Photography Presenter(s): [Ma] [Gupta] [Ulku] [Bruschini] [Charbon] [Gupta]
[SIGGRAPH 2020]
![Radiative backpropagation: an adjoint method for lightning-fast differentiable rendering](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Nimier-David_Radiative-Backpropagation-150x150.jpg)
Radiative backpropagation: an adjoint method for lightning-fast differentiable rendering Presenter(s): [Nimier-David] [Speierer] [Ruiz] [Jakob]
[SIGGRAPH 2020]
![Real-time Image Smoothing via Iterative Least Squares](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Liu_Real-time-Image-Smoothing-via-Iterative-Least-Squares-150x150.jpg)
Real-time Image Smoothing via Iterative Least Squares Presenter(s): [Liu] [Zhang] [Huang] [Yang] [Shen]
[SIGGRAPH 2020]
![Resampling-aware Weighting Functions for Bidirectional Path Tracing Using Multiple Light Sub-paths](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Nabata_Resampling-aware-Weighting-Functions-for-Bidirectional-Path-Tracing-Using-Multiple-Light-Sub-paths-150x150.jpg)
Resampling-aware Weighting Functions for Bidirectional Path Tracing Using Multiple Light Sub-paths Presenter(s): [Nabata] [Iwasaki] [Dobashi]
[SIGGRAPH 2020]
![RigNet: Neural Rigging for Articulated Characters](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Xu_RigNet-Neural-Rigging-for-Articulated-Characters-150x150.jpg)
RigNet: Neural Rigging for Articulated Characters Presenter(s): [Xu] [Zhou] [Kalogerakis] [Landreth] [Singh]
[SIGGRAPH 2020]
![RoboCut: hot-wire cutting with robot-controlled flexible rods](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Duenser_RoboCut-150x150.jpg)
RoboCut: hot-wire cutting with robot-controlled flexible rods Presenter(s): [Duenser] [Poranne] [Thomaszewski] [Coros]
[SIGGRAPH 2020]
![Robust Eulerian-on-Lagrangian Rods](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Banderas_Robust-Eulerian-on-Lagrangian-Rods-150x150.jpg)
Robust Eulerian-on-Lagrangian Rods Presenter(s): [Sánchez-Banderas] [Rodríguez] [Barreiro] [Otaduy]
[SIGGRAPH 2020]
![Robust fitting of parallax-aware mixtures for path guiding](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Ruppert_Robust-Fitting-of-Parallax-Aware-Mixtures-for-Path-Guiding-150x150.jpg)
Robust fitting of parallax-aware mixtures for path guiding Presenter(s): [Ruppert] [Herholz] [Lensch]
[SIGGRAPH 2020]
![Seamless Parametrization With Arbitrary Cones for Arbitrary Genus](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Campen_Seamless-Parametrization-With-Arbitrary-Cones-for-Arbitrary-Genus-150x150.jpg)
Seamless Parametrization With Arbitrary Cones for Arbitrary Genus Presenter(s): [Campen] [Shen] [Zhou] [Zorin]
[SIGGRAPH 2020]
![Sequential Gallery for Interactive Visual Design Optimization](https://history.siggraph.org/wp-content/uploads/2022/08/2020-Technical-Papers-Koyama_Sequential-Gallery-for-Interactive-Visual-Design-Optimization-150x150.jpg)
Sequential Gallery for Interactive Visual Design Optimization Presenter(s): [Koyama] [Sato] [Goto]
[SIGGRAPH 2020]
![Simple and Scalable Frictional Contacts for Thin Nodal Objects](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Daviet_Simple-and-Scalable-Frictional-Contacts-for-Thin-Nodal-Objects-150x150.jpg)
Simple and Scalable Frictional Contacts for Thin Nodal Objects Presenter(s): [Daviet]
[SIGGRAPH 2020]
![Single Image HDR Reconstruction Using a CNN with Masked Featuresand Perceptual Loss](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Santos_Single-Image-HDR-Reconstruction-Using-a-CNN-with-Masked-Features-and-Perceptual-Loss-150x150.jpg)
Single Image HDR Reconstruction Using a CNN with Masked Featuresand Perceptual Loss Presenter(s): [Santos] [Ren] [Kalantari]
[SIGGRAPH 2020]
![Single-Shot High-Quality Facial Geometry and Skin Appearance Capture](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Riviere_Single-Shot-High-Quality-Facial-Geometry-and-Skin-Appearance-Capture-150x150.jpg)
Single-Shot High-Quality Facial Geometry and Skin Appearance Capture Presenter(s): [Riviere] [Gotardo] [Bradley] [Ghosh] [Beeler]
[SIGGRAPH 2020]
![Skeleton-Aware Networks for Deep Motion Retargeting](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Aberman_Skeleton-Aware-Networks-for-Deep-Motion-Retargeting-150x150.jpg)
Skeleton-Aware Networks for Deep Motion Retargeting Presenter(s): [Aberman] [Li] [Lischinski] [Sorkine-Hornung] [Cohen-Or] [Chen]
[SIGGRAPH 2020]
![Sliced optimal transport sampling](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Paulin_Sliced-Optimal-Transport-Sampling-1-150x150.jpg)
Sliced optimal transport sampling Presenter(s): [Paulin] [Bonneel] [Coeurjolly] [Iehl] [Webanck] [Desbrun] [Ostromoukhov]
[SIGGRAPH 2020]
![Spatiotemporal Reservoir Resampling for Real-time Ray Tracing With Dynamic Direct Lighting](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Bitterli_Spatiotemporal-reservoir-resampling-for-real-time-ray-tracing-with-dynamic-direct-lighting-150x150.jpg)
Spatiotemporal Reservoir Resampling for Real-time Ray Tracing With Dynamic Direct Lighting Presenter(s): [Bitterli] [Wyman] [Pharr] [Shirley] [Lefohn] [Jarosz]
[SIGGRAPH 2020]
![Specular Manifold Sampling for Rendering High-frequency Caustics and Glints](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Zeltner_Specular-Manifold-Sampling-for-Rendering-High-Frequency-Caustics-and-Glints-150x150.jpg)
Specular Manifold Sampling for Rendering High-frequency Caustics and Glints Presenter(s): [Zeltner] [Georgiev] [Jakob]
[SIGGRAPH 2020]
![Tactile Line Drawings for Improved Shape Understanding in Blind and Visually Impaired Users](https://history.siggraph.org/wp-content/uploads/2022/08/2020-Technical-Papers-Panotopoulou_Tactile-Line-Drawings-for-Improved-Shape-Understanding-in-Blind-and-Visually-Impaired-Users-150x150.jpg)
Tactile Line Drawings for Improved Shape Understanding in Blind and Visually Impaired Users Presenter(s): [Panotopoulou] [Zhang] [Qiu] [Yang] [Whiting]
[SIGGRAPH 2020]
![Tactile Rendering Based on Skin Stress Optimization](https://history.siggraph.org/wp-content/uploads/2022/08/2020-Technical-Papers-Verschoor_Tactile-Rendering-Based-on-Skin-Stress-Optimization-150x150.jpg)
Tactile Rendering Based on Skin Stress Optimization Presenter(s): [Verschoor] [Casas] [Otaduy]
[SIGGRAPH 2020]
![The Design and Evolution of the UberBake Light Baking System](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Seyb_The-design-and-evolution-of-the-UBERBAKE-light-baking-system-150x150.jpg)
The Design and Evolution of the UberBake Light Baking System Presenter(s): [Seyb] [Sloan] [Silvennoinen] [Iwanicki] [Jarosz]
[SIGGRAPH 2020]
![The Eyes Have It: An Integrated Eye and Face Model for Photorealistic Facial Animation](https://history.siggraph.org/wp-content/uploads/2022/08/2020-Technical-Papers-Schwartz_The-Eyes-Have-It-150x150.jpg)
The Eyes Have It: An Integrated Eye and Face Model for Photorealistic Facial Animation Presenter(s): [Schwartz] [Wei] [Wang] [Lombardi] [Simon] [Saragih] [Sheikh]
[SIGGRAPH 2020]
![The leopard never changes its spots: realistic pigmentation pattern formation by coupling tissue growth with reaction-diffusion](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Malheiros_The-leopard-never-changes-its-spots_-realistic-pigmentation-pattern-formation-by-coupling-tissue-growth-with-reaction-diffusion-150x150.jpg)
The leopard never changes its spots: realistic pigmentation pattern formation by coupling tissue growth with reaction-diffusion Presenter(s): [Malheiros] [Fensterseifer] [Walter]
[SIGGRAPH 2020]
![TilinGNN: Learning to Tile With Self-supervised Graph Neural Network](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Xu_TilinGNN-150x150.jpg)
TilinGNN: Learning to Tile With Self-supervised Graph Neural Network Presenter(s): [Xu] [Hui] [Fu] [Zhang]
[SIGGRAPH 2020]
![Towards Occlusion-Aware Multifocal Displays](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Chang_Towards-Occlusion-Aware-Multifocal-Displays-150x150.jpg)
Towards Occlusion-Aware Multifocal Displays Presenter(s): [Chang] [Levin] [Kumar] [Sankaranarayanan]
[SIGGRAPH 2020]
![Uncertainty quantification for multi-scan registration](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Huang_Uncertainity-Quantification-for-Multi-Scan-Registration-150x150.jpg)
Uncertainty quantification for multi-scan registration Presenter(s): [Huang] [Liang] [Huang]
[SIGGRAPH 2020]
![Unpaired Motion Style Transfer from Video to Animation](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Aberman_Unpaired-Motion-Style-Transfer-from-Video-to-Animation-150x150.jpg)
Unpaired Motion Style Transfer from Video to Animation Presenter(s): [Aberman] [Weng] [Lischinski] [Cohen-Or] [Chen]
[SIGGRAPH 2020]
![Unsupervised K-modal styled content generation](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Sendik_Unsupervised-K-modal-Styled-Content-Generation-150x150.jpg)
Unsupervised K-modal styled content generation Presenter(s): [Sendik] [Lischinski] [Cohen-Or]
[SIGGRAPH 2020]
![Variable-width Contouring for Additive Manufacturing](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Hornus_Variable-width-contouring-for-Additive-Manufacturing-150x150.jpg)
Variable-width Contouring for Additive Manufacturing Presenter(s): [Hornus] [Kuipers] [Devillers] [Teillaud] [Martínez] [Glisse] [Lazard] [Lefebvre]
[SIGGRAPH 2020]
![Variance-aware path guiding](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Rath_Variance-Aware-Path-Guiding-150x150.jpg)
Variance-aware path guiding Presenter(s): [Rath] [Grittmann] [Herholz] [Vévoda] [Slusallek] [Křivánek]
[SIGGRAPH 2020]
![Vid2Curve: simultaneous camera motion estimation and thin structure reconstruction from an RGB video](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Peng_Vid2Curve-150x150.jpg)
Vid2Curve: simultaneous camera motion estimation and thin structure reconstruction from an RGB video Presenter(s): [Wang] [Liu] [Chen] [Chu] [Theobalt] [Wang]
[SIGGRAPH 2020]
![VoroCrust: Voronoi Meshing Without Clipping](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Abdelkader_VoroCrust-Voronoi-Meshing-Without-Clipping-150x150.jpg)
VoroCrust: Voronoi Meshing Without Clipping Presenter(s): [Abdelrazek] [Ebeida] [Mahmoud] [Bajaj] [Mitchell] [Owens] [Rushdi]
[SIGGRAPH 2020]
![VoroCrust: Voronoi Meshing Without Clipping](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Abdelkader_VoroCrust-Voronoi-Meshing-Without-Clipping-150x150.jpg)
VoroCrust: Voronoi Meshing Without Clipping Presenter(s): [Abdelrazek] [Ebeida] [Mahmoud] [Bajaj] [Mitchell] [Owens] [Rushdi]
[SIGGRAPH 2020]
![A System for Efficient 3D Printed Stop-motion Face Animation](https://history.siggraph.org/wp-content/uploads/2022/07/2020-SIGGRAPH-Image-Not-Available-150x150.jpg)
A System for Efficient 3D Printed Stop-motion Face Animation Presenter(s): [Abdrashitov] [Jacobson] [Singh]
[SIGGRAPH 2020]
![Skeleton-Aware Networks for Deep Motion Retargeting](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Aberman_Skeleton-Aware-Networks-for-Deep-Motion-Retargeting-150x150.jpg)
Skeleton-Aware Networks for Deep Motion Retargeting Presenter(s): [Aberman] [Li] [Lischinski] [Sorkine-Hornung] [Cohen-Or] [Chen]
[SIGGRAPH 2020]
![Unpaired Motion Style Transfer from Video to Animation](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Aberman_Unpaired-Motion-Style-Transfer-from-Video-to-Animation-150x150.jpg)
Unpaired Motion Style Transfer from Video to Animation Presenter(s): [Aberman] [Weng] [Lischinski] [Cohen-Or] [Chen]
[SIGGRAPH 2020]
![A Practical Octree Liquid Simulator with Adaptive Surface Resolution](https://history.siggraph.org/wp-content/uploads/2023/01/2020-Techinical-Paper-Ando_A-Practical-Octree-Liquid-Simulator-with-Adaptive-Surface-Resolution-150x150.jpg)
A Practical Octree Liquid Simulator with Adaptive Surface Resolution Presenter(s): [Ando] [Batty]
[SIGGRAPH 2020]
![Capturing Subjective First-Person View Shots With Drones for Automated Cinematography](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Ashtari_Capturing-Subjective-First-Person-View-Shots-With-Drones-for-Automated-Cinematography-150x150.jpg)
Capturing Subjective First-Person View Shots With Drones for Automated Cinematography Presenter(s): [Ashtari] [Stevsic] [Nägeli] [Bazin] [Hilliges]
[SIGGRAPH 2020]
![Image-Based Acquisition and Modeling of Polarimetric Reflectance](https://history.siggraph.org/wp-content/uploads/2022/08/2020-Technical-Papers-Baek_Image-Based-Acquisition-and-Modeling-of-Polarimetric-Reflectance-01-150x150.jpg)
Image-Based Acquisition and Modeling of Polarimetric Reflectance Presenter(s): [Baek] [Zeltner] [Ku] [Hwang] [Tong] [Jakob] [Kim]
[SIGGRAPH 2020]
![Fast and Deep Facial Deformations](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Bailey_Fast-and-Deep-Facial-Deformations-150x150.jpg)
Fast and Deep Facial Deformations Presenter(s): [Bailey] [Omens] [DiLorenzo] [O'Brien]
[SIGGRAPH 2020]
![Spatiotemporal Reservoir Resampling for Real-time Ray Tracing With Dynamic Direct Lighting](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Bitterli_Spatiotemporal-reservoir-resampling-for-real-time-ray-tracing-with-dynamic-direct-lighting-150x150.jpg)
Spatiotemporal Reservoir Resampling for Real-time Ray Tracing With Dynamic Direct Lighting Presenter(s): [Bitterli] [Wyman] [Pharr] [Shirley] [Lefohn] [Jarosz]
[SIGGRAPH 2020]
![Code Replicability in Computer Graphics](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Bonneel_Code-Replicability-in-Computer-Graphics-150x150.jpg)
Code Replicability in Computer Graphics Presenter(s): [Bonneel] [Coeurjolly] [Digne] [Mellado]
[SIGGRAPH 2020]
![Immersive Light Field Video with a Layered Mesh Representation](https://history.siggraph.org/wp-content/uploads/2022/08/2020-Technical-Papers-Broxton_Immersive-Light-Field-Video-150x150.jpg)
Immersive Light Field Video with a Layered Mesh Representation Presenter(s): [Broxton] [Flynn] [Overbeck] [Erickson] [Hedman] [DuVall] [Dourgarian] [Whalen] [Busch] [Debevec]
[SIGGRAPH 2020]
![Seamless Parametrization With Arbitrary Cones for Arbitrary Genus](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Campen_Seamless-Parametrization-With-Arbitrary-Cones-for-Arbitrary-Genus-150x150.jpg)
Seamless Parametrization With Arbitrary Cones for Arbitrary Genus Presenter(s): [Campen] [Shen] [Zhou] [Zorin]
[SIGGRAPH 2020]
![Enhanced Interactive 360° Viewing via Automatic Guidance](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Cha_Enhanced-Interactive-360-Viewing-via-Automatic-Guidance-150x150.jpg)
Enhanced Interactive 360° Viewing via Automatic Guidance Presenter(s): [Cha] [Lee] [Kim] [Noh]
[SIGGRAPH 2020]
![Directional Sources and Listeners in Interactive Sound Propagation using Reciprocal Wave Field Coding](https://history.siggraph.org/wp-content/uploads/2023/01/2020-Technical-Papers-Chaitanya_Directional-Sources-and-Listeners-in-Interactive-Sound-Propagation-using-Reciprocal-Wave-Field-Coding-150x150.jpg)
Directional Sources and Listeners in Interactive Sound Propagation using Reciprocal Wave Field Coding Presenter(s): [Chaitanya] [Raghuvanshi] [Godin] [Zhang] [Nowrouzezahrai] [Snyder]
[SIGGRAPH 2020]
![Towards Occlusion-Aware Multifocal Displays](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Chang_Towards-Occlusion-Aware-Multifocal-Displays-150x150.jpg)
Towards Occlusion-Aware Multifocal Displays Presenter(s): [Chang] [Levin] [Kumar] [Sankaranarayanan]
[SIGGRAPH 2020]
![A Luminance-aware Model of Judder Perception](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Chapiro_A-Luminance-aware-Model-of-Judder-Perception-150x150.jpg)
A Luminance-aware Model of Judder Perception Presenter(s): [Chapiro] [Atkins] [Daly]
[SIGGRAPH 2020]
![DeepFaceDrawing: Deep Generation of Face Images from Sketches](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-papers-Chen_DeepFaceDrawing-Deep-Generation-of-Face-Images-from-Sketches-150x150.jpg)
DeepFaceDrawing: Deep Generation of Face Images from Sketches Presenter(s): [Chen] [Su] [Gao] [Xia] [Fu]
[SIGGRAPH 2020]
![NASOQ: Numerically Accurate Sparsity-Oriented QP Solver](https://history.siggraph.org/wp-content/uploads/2022/07/2020-SIGGRAPH-Image-Not-Available-150x150.jpg)
NASOQ: Numerically Accurate Sparsity-Oriented QP Solver Presenter(s): [Cheshmi] [Kaufman] [Kamil] [Dehnavi]
[SIGGRAPH 2020]
![Human-in-the-Loop Differential Subspace Search in High-DimensionalLatent Space](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Chiu_Human-in-the-Loop-150x150.jpg)
Human-in-the-Loop Differential Subspace Search in High-DimensionalLatent Space Presenter(s): [Chiu] [Koyama] [Lai] [Igarashi] [Yue]
[SIGGRAPH 2020]
![Learning Temporal Coherence via Self-Supervision for GAN-basedVideo Generation](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Chu_Learning-Temporal-Coherence-via-Self-Supervision-for-GAN-basedVideo-Generation-150x150.jpg)
Learning Temporal Coherence via Self-Supervision for GAN-basedVideo Generation Presenter(s): [Chu] [Xie] [Mayer] [Leal-Taixé] [Thuerey]
[SIGGRAPH 2020]
![Adaptive Merging for Rigid Body Simulation](https://history.siggraph.org/wp-content/uploads/2023/01/2020-Technical-Papers-Coevoet_Adaptive-Merging-for-Rigid-Body-Simulation-150x150.jpg)
Adaptive Merging for Rigid Body Simulation Presenter(s): [Coevoet] [Benchekroun] [Kry]
[SIGGRAPH 2020]
![Computational Image Marking on Metals via Laser Induced Heating](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Cucerca_Computational-Image-Marking-on-Metals-via-Laser-Induced-Heating-150x150.jpg)
Computational Image Marking on Metals via Laser Induced Heating Presenter(s): [Cucerca] [Didyk] [Seidel] [Babaei]
[SIGGRAPH 2020]
![Simple and Scalable Frictional Contacts for Thin Nodal Objects](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Daviet_Simple-and-Scalable-Frictional-Contacts-for-Thin-Nodal-Objects-150x150.jpg)
Simple and Scalable Frictional Contacts for Thin Nodal Objects Presenter(s): [Daviet]
[SIGGRAPH 2020]
![A perceptual model of motion quality for rendering with adaptive refresh-rate and resolution](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Denes_A-perceptual-model-of-motion-quality-for-rendering-with-adaptive-refresh-rate-and-resolution-150x150.jpg)
A perceptual model of motion quality for rendering with adaptive refresh-rate and resolution Presenter(s): [Denes] [Jindal] [Mikhailiuk] [Mantiuk]
[SIGGRAPH 2020]
![PolyFit: Perception-Aligned Vectorization of Raster Clip-Art viaIntermediate Polygonal Fitting](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Dominici_PolyFit_-Perception-Aligned-Vectorization-of-Raster-Clip-Art-via-Intermediate-Polygonal-Fitting-150x150.jpg)
PolyFit: Perception-Aligned Vectorization of Raster Clip-Art viaIntermediate Polygonal Fitting Presenter(s): [Dominici] [Schertler] [Griffin] [Hoshyari] [Sigal] [Sheffer]
[SIGGRAPH 2020]
![Lifting Simplices to Find Injectivity](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Du_Lifting-Simplices-to-Find-Injectivity-150x150.jpg)
Lifting Simplices to Find Injectivity Presenter(s): [Du] [Aigerman] [Zhou] [Kovalsky] [Yan] [Kaufman] [Ju]
[SIGGRAPH 2020]
![RoboCut: hot-wire cutting with robot-controlled flexible rods](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Duenser_RoboCut-150x150.jpg)
RoboCut: hot-wire cutting with robot-controlled flexible rods Presenter(s): [Duenser] [Poranne] [Thomaszewski] [Coros]
[SIGGRAPH 2020]
![ENIGMA: evolutionary non-isometric geometry Matching](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Edelstein_ENIGMA-150x150.jpg)
ENIGMA: evolutionary non-isometric geometry Matching Presenter(s): [Edelstein] [Ezuz] [Ben-Chen]
[SIGGRAPH 2020]
![Model Predictive Control With a Visuomotor System for Physics-based Character Animation](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Eom_Model-Predictive-Control-With-a-Visuomotor-System-for-Physics-based-Character-Animation-150x150.jpg)
Model Predictive Control With a Visuomotor System for Physics-based Character Animation Presenter(s): [Eom] [Han] [Shin] [Noh]
[SIGGRAPH 2020]
![IQ-MPM: An Interface Quadrature Material Point Method forNon-sticky Strongly Two-Way Coupled Nonlinear Solids and Fluids](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Fang_IQ-MPM_-An-Interface-Quadrature-Material-Point-Method-for-Non-sticky-Strongly-Two-Way-Coupled-Nonlinear-Solids-and-Fluids-150x150.jpg)
IQ-MPM: An Interface Quadrature Material Point Method forNon-sticky Strongly Two-Way Coupled Nonlinear Solids and Fluids Presenter(s): [Fang] [Qu] [Li] [Zhang] [Zhu] [Aanjaneya] [Jiang]
[SIGGRAPH 2020]
![An Implicit Compressible SPH Solver for Snow Simulation](https://history.siggraph.org/wp-content/uploads/2023/01/2020-Technical-Papers-Gissler_An-Implicit-Compressible-SPH-Solver-for-Snow-Simulation-150x150.jpg)
An Implicit Compressible SPH Solver for Snow Simulation Presenter(s): [Gissler] [Henne] [Band] [Peer] [Teschner]
[SIGGRAPH 2020]
![Discrete Differential Operators on Polygonal Meshes](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-De-Goes_Discrete-Differential-Operators-on-Polygonal-Meshes-150x150.jpg)
Discrete Differential Operators on Polygonal Meshes Presenter(s): [Goes] [Butts] [Desbrun]
[SIGGRAPH 2020]
![Constraint Bubbles and Affine Regions: Reduced Fluid Models forEfficient Immersed Bubbles and Flexible Spatial Coarsening](https://history.siggraph.org/wp-content/uploads/2023/01/2020-Technical-Papers-Goldade_Constraint-Bubbles-and-Affine-Regions_-Reduced-Fluid-Models-for-Efficient-Immersed-Bubbles-and-Flexible-Spatial-Coarsening-150x150.jpg)
Constraint Bubbles and Affine Regions: Reduced Fluid Models forEfficient Immersed Bubbles and Flexible Spatial Coarsening Presenter(s): [Goldade] [Aanjaneya] [Batty]
[SIGGRAPH 2020]
![Compositional Neural Scene Representations for Shading Inference](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Granskog_Compositional-Neural-Scene-Representaitons-for-Shading-Inference-150x150.jpg)
Compositional Neural Scene Representations for Shading Inference Presenter(s): [Granskog] [Rousselle] [Papas] [Novák]
[SIGGRAPH 2020]
![Cut-enhanced PolyCube-maps for feature-aware all-hex meshing](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Guo_Cut-enhanced-PolyCube-Maps-for-Feature-aware-All-Hex-Meshing-150x150.jpg)
Cut-enhanced PolyCube-maps for feature-aware all-hex meshing Presenter(s): [Guo] [Liu] [Yan] [Liu]
[SIGGRAPH 2020]
![Inverse Procedural Modeling of Branching Structures by Inferring L-Systems](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Guo_Inverse-Procedural-Modeling-of-Branching-Structures-by-Inferring-L-Systems-150x150.jpg)
Inverse Procedural Modeling of Branching Structures by Inferring L-Systems Presenter(s): [Guo] [Jiang] [Benes] [Deussen] [Zhang] [Lischinski] [Huang]
[SIGGRAPH 2020]
![MEgATrack: Monochrome Egocentric Articulated Hand-Tracking forVirtual Reality](https://history.siggraph.org/wp-content/uploads/2022/08/2020-Technical-Papers-Han_MEgATrack-150x150.jpg)
MEgATrack: Monochrome Egocentric Articulated Hand-Tracking forVirtual Reality Presenter(s): [Han] [Liu] [Cabezas] [Twigg] [Zhang] [Petkau] [Yu] [Tai] [Akbay] [Wang] [Nitzan] [Dong] [Ye] [Tao] [Wan] [Wang]
[SIGGRAPH 2020]
![Point2Mesh: A Self-prior for Deformable Meshes](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Hanocka_Point2Mesh-150x150.jpg)
Point2Mesh: A Self-prior for Deformable Meshes Presenter(s): [Hanocka] [Metzer] [Giryes] [Cohen-Or]
[SIGGRAPH 2020]
![Informative Scene Decomposition for Crowd Analysis, Comparison andSimulation Guidance](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-He_Informative-Scene-Decomposition-for-Crowd-Analysis-Comparison-and-Simulation-Guidance-150x150.jpg)
Informative Scene Decomposition for Crowd Analysis, Comparison andSimulation Guidance Presenter(s): [He] [Xiang] [Zhao] [Wang]
[SIGGRAPH 2020]
![Deep Geometric Texture Synthesis](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Hertz_Deep-Geometric-Texture-Synthesis-150x150.jpg)
Deep Geometric Texture Synthesis Presenter(s): [Hertz] [Hanocka] [Giryes] [Cohen-Or]
[SIGGRAPH 2020]
![Variable-width Contouring for Additive Manufacturing](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Hornus_Variable-width-contouring-for-Additive-Manufacturing-150x150.jpg)
Variable-width Contouring for Additive Manufacturing Presenter(s): [Hornus] [Kuipers] [Devillers] [Teillaud] [Martínez] [Glisse] [Lazard] [Lefebvre]
[SIGGRAPH 2020]
![Fast tetrahedral meshing in the wild](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Hu_Fast-Tetrahedral-Meshing-in-the-Wild-150x150.jpg)
Fast tetrahedral meshing in the wild Presenter(s): [Hu] [Schneider] [Wang] [Zorin] [Panozzo]
[SIGGRAPH 2020]
![Graph2Plan: Learning Floorplan Generation From Layout Graphs](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Hu_Graph2Plan-150x150.jpg)
Graph2Plan: Learning Floorplan Generation From Layout Graphs Presenter(s): [Hu] [Huang] [Tang] [Kaick] [Zhang] [Huang]
[SIGGRAPH 2020]
![Chemomechanical Simulation of Soap Film Flow on Spherical Bubbles](https://history.siggraph.org/wp-content/uploads/2023/01/2020-Technical-Papers-Huang_Chemomechanical-Simulation-of-Soap-Film-Flow-on-Spherical-Bubbles-150x150.jpg)
Chemomechanical Simulation of Soap Film Flow on Spherical Bubbles Presenter(s): [Huang] [Iseringhausen] [Kneiphof] [Qu] [Jiang] [Hullin]
[SIGGRAPH 2020]
![Uncertainty quantification for multi-scan registration](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Huang_Uncertainity-Quantification-for-Multi-Scan-Registration-150x150.jpg)
Uncertainty quantification for multi-scan registration Presenter(s): [Huang] [Liang] [Huang]
[SIGGRAPH 2020]
![Adaptive Incident Radiance Field Sampling and Reconstruction Using Deep Reinforcement Learning](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Huo_Adaptive-Incident-Radiance-Field-Sampling-and-Reconstruction-Using-Deep-Reinforcement-Learning-150x150.jpg)
Adaptive Incident Radiance Field Sampling and Reconstruction Using Deep Reinforcement Learning Presenter(s): [Huo] [Wang] [Zheng] [Xu] [Bao] [Yoon]
[SIGGRAPH 2020]
![Computational Parquetry: Fabricated Style Transfer With Wood Pixels](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Iseringhausen_Computational-Parquetry-Fabricated-Style-Transfer-With-Wood-Pixels-150x150.jpg)
Computational Parquetry: Fabricated Style Transfer With Wood Pixels Presenter(s): [Iseringhausen] [Weinmann] [Huang] [Hullin]
[SIGGRAPH 2020]
![Non-line-of-sight Reconstruction Using Efficient Transient Rendering](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Iseringhausen_Non-line-of-sight-Reconstruction-Using-Efficient-Transient-Rendering-150x150.jpg)
Non-line-of-sight Reconstruction Using Efficient Transient Rendering Presenter(s): [Iseringhausen] [Hullin]
[SIGGRAPH 2020]
![A Model for Soap Film Dynamics with Evolving Thickness](https://history.siggraph.org/wp-content/uploads/2023/01/2020-Technical-Papers-Ishida_A-Model-for-Soap-Film-Dynamics-with-Evolving-Thickness-150x150.jpg)
A Model for Soap Film Dynamics with Evolving Thickness Presenter(s): [Ishida] [Synak] [Narita] [Hachisuka] [Wojtan]
[SIGGRAPH 2020]
![Phong deformation: a better C0 interpolant for embedded deformation](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-James_Phong-Deformation-A-better-C-0-interpolant-for-embedded-deformation-150x150.jpg)
Phong deformation: a better C0 interpolant for embedded deformation Presenter(s): [James]
[SIGGRAPH 2020]
![Complete Classification and Efficient Determination of Arrangements Formed by Two Ellipsoids](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Jia_Complete-Classification-and-Efficient-Determination-of-Arrangements-Formed-by-Two-Ellipsoids-150x150.jpg)
Complete Classification and Efficient Determination of Arrangements Formed by Two Ellipsoids Presenter(s): [Jia] [Tu] [Mourrain] [Wang]
[SIGGRAPH 2020]
![Example-driven Virtual Cinematography by Learning CameraBehaviors](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Jiang_Example-driven-Virtual-Cinematography-by-Learning-Camera-Behaviors-150x150.jpg)
Example-driven Virtual Cinematography by Learning CameraBehaviors Presenter(s): [Jiang] [Wang] [Wang] [Christie] [Chen]
[SIGGRAPH 2020]
![Quad-mesh Based Isometric Mappings and Developable Surfaces](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Jiang_Quad-mesh-based-isometric-mappings-and-developable-surfaces-150x150.jpg)
Quad-mesh Based Isometric Mappings and Developable Surfaces Presenter(s): [Jiang] [Wang] [Rist] [Wallner] [Pottmann]
[SIGGRAPH 2020]
![Manipulating Attributes of Natural Scenes via Hallucination](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Karakan_Manipulating-Attributes-of-Natural-Scenes-via-Hallucination-150x150.jpg)
Manipulating Attributes of Natural Scenes via Hallucination Presenter(s): [Karacan] [Akata] [Erdem] [Erdem]
[SIGGRAPH 2020]
![Massively Parallel Rendering of Complex Closed-form Implicit Surfaces](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Keeter_Massively-Parallel-Rendering-of-Complex-Closed-Form-Implicit-Surfaces-150x150.jpg)
Massively Parallel Rendering of Complex Closed-form Implicit Surfaces Presenter(s): [Keeter]
[SIGGRAPH 2020]
![Lagrangian Neural Style Transfer for Fluids](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Kim_Lagrangian-Neural-Style-Transfer-for-Fluids-150x150.jpg)
Lagrangian Neural Style Transfer for Fluids Presenter(s): [Kim] [Azevedo] [Gross] [Solenthaler]
[SIGGRAPH 2020]
![Gaze-Contingent Ocular Parallax Rendering for Virtual Reality](https://history.siggraph.org/wp-content/uploads/2022/07/2020-SIGGRAPH-Image-Not-Available-150x150.jpg)
Gaze-Contingent Ocular Parallax Rendering for Virtual Reality Presenter(s): [Konrad] [Angelopoulos] [Wetzstein]
[SIGGRAPH 2020]
![One Shot 3D Photography](https://history.siggraph.org/wp-content/uploads/2021/06/2020-Technical-Papers-Kopf_One-Shot-3D-Photography-150x150.jpg)
One Shot 3D Photography Presenter(s): [Kopf] [Matzen] [Alsisan] [Quigley] [Ge] [Chong] [Patterson] [Frahm] [Wu] [Yu] [Zhang] [He] [Vajda] [Saraf] [Cohen]
[SIGGRAPH 2020]
![Interferometric Transmission Probing with Coded Mutual Intensity](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Kotwal_Interferometric-Transmission-Probing-with-Coded-Mutual-Intensity-150x150.jpg)
Interferometric Transmission Probing with Coded Mutual Intensity Presenter(s): [Kotwal] [Levin] [Gkioulekas]
[SIGGRAPH 2020]
![Sequential Gallery for Interactive Visual Design Optimization](https://history.siggraph.org/wp-content/uploads/2022/08/2020-Technical-Papers-Koyama_Sequential-Gallery-for-Interactive-Visual-Design-Optimization-150x150.jpg)
Sequential Gallery for Interactive Visual Design Optimization Presenter(s): [Koyama] [Sato] [Goto]
[SIGGRAPH 2020]
![High Resolution Étendue Expansion for Holographic Displays](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Kuo_High-Resolution-Étendue-Expansion-for-Holographic-Displays-150x150.jpg)
High Resolution Étendue Expansion for Holographic Displays Presenter(s): [Kuo] [Waller] [Ng] [Maimone]
[SIGGRAPH 2020]
![Fast and Flexible Multilegged Locomotion Using Learned Centroidal Dynamics](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Kwon_Fast-and-Flexible-Multilegged-Locomotion-Using-Learned-Centroidal-Dynamics-150x150.jpg)
Fast and Flexible Multilegged Locomotion Using Learned Centroidal Dynamics Presenter(s): [Kwon] [Lee] [Panne]
[SIGGRAPH 2020]
![Medial Elastics: Efficient and Collision-ready Deformation via Medial Axis Transform](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Medial-Elastics-Efficient-and-Collision-ready-Deformation-via-Medial-Axis-Transform-150x150.jpg)
Medial Elastics: Efficient and Collision-ready Deformation via Medial Axis Transform Presenter(s): [Lan] [Luo] [Fratarcangeli] [Xu] [Wang] [Guo] [Yao] [Yang]
[SIGGRAPH 2020]
![Exertion-aware Path Generation](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Li_Exertion-Aware-Path-Generation-150x150.jpg)
Exertion-aware Path Generation Presenter(s): [Li] [Xie] [Zhang] [Meiss] [Huang] [Yu]
[SIGGRAPH 2020]
![Fast and Scalable Turbulent Flow Simulation with Two-Way Coupling](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Li_Fast-and-Scalable-Turbulent-Flow-Simulation-with-Two-Way-Coupling-150x150.jpg)
Fast and Scalable Turbulent Flow Simulation with Two-Way Coupling Presenter(s): [Li] [Chen] [Desbrun] [Zheng] [Liu]
[SIGGRAPH 2020]
![Incremental Potential Contact: Intersection- and Inversion-free,Large-Deformation Dynamics](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Li_Incremental-Potential-Contact_-Intersection-and-Inversion-free-Large-Deformation-Dynamics-150x150.jpg)
Incremental Potential Contact: Intersection- and Inversion-free,Large-Deformation Dynamics Presenter(s): [Li] [Ferguson] [Schneider] [Langlois] [Zorin] [Panozzo] [Jiang] [Kaufman]
[SIGGRAPH 2020]
![Character Controllers using Motion VAEs](https://history.siggraph.org/wp-content/uploads/2023/01/2020-Technical-Papers-Ling_Character-Controllers-using-Motion-VAEs-150x150.jpg)
Character Controllers using Motion VAEs Presenter(s): [Ling] [Zinno] [Cheng] [Panne]
[SIGGRAPH 2020]
![HeadBlaster: A Wearable Approach to Simulating Motion Perceptionusing Head-mounted Air Propulsion Jets](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Liu_HeadBlaster-150x150.jpg)
HeadBlaster: A Wearable Approach to Simulating Motion Perceptionusing Head-mounted Air Propulsion Jets Presenter(s): [Liu] [Yen] [Mao] [Lin] [Chandra] [Chen]
[SIGGRAPH 2020]
![Real-time Image Smoothing via Iterative Least Squares](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Liu_Real-time-Image-Smoothing-via-Iterative-Least-Squares-150x150.jpg)
Real-time Image Smoothing via Iterative Least Squares Presenter(s): [Liu] [Zhang] [Huang] [Yang] [Shen]
[SIGGRAPH 2020]
![LoopyCuts: practical feature-preserving block decomposition for strongly hex-dominant meshing](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Livesu_LoopyCuts-150x150.jpg)
LoopyCuts: practical feature-preserving block decomposition for strongly hex-dominant meshing Presenter(s): [Livesu] [Pietroni] [Puppo] [Sheffer] [Cignoni]
[SIGGRAPH 2020]
![Langevin monte carlo rendering with gradient-based adaptation](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Luan_Langevin-Monte-Carlo-Rendering-with-Gradient-based-Adaptation-150x150.jpg)
Langevin monte carlo rendering with gradient-based adaptation Presenter(s): [Luan] [Zhao] [Bala] [Gkioulekas]
[SIGGRAPH 2020]
![CARL: Controllable Agent with Reinforcement Learning forQuadruped Locomotion](https://history.siggraph.org/wp-content/uploads/2023/01/2020-Technical-Papers-Luo_CARL_-Controllable-Agent-with-Reinforcement-Learning-for-Quadruped-Locomotion-150x150.jpg)
CARL: Controllable Agent with Reinforcement Learning forQuadruped Locomotion Presenter(s): [Luo] [Soeseno] [Chen] [Chen]
[SIGGRAPH 2020]
![Consistent Video Depth Estimation](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Luo_Consistent-Video-Depth-Estimation-150x150.jpg)
Consistent Video Depth Estimation Presenter(s): [Luo] [Huang] [Szeliski] [Matzen] [Kopf]
[SIGGRAPH 2020]
![Projective Dynamics with Dry Frictional Contact](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Ly_Projective-Dynamics-with-Dry-Frictional-Contact-150x150.jpg)
Projective Dynamics with Dry Frictional Contact Presenter(s): [Ly] [Jouve] [Boissieux] [Bertails-Descoubes]
[SIGGRAPH 2020]
![Quanta Burst Photography](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Ma_Quanta-Burst-Photography-150x150.jpg)
Quanta Burst Photography Presenter(s): [Ma] [Gupta] [Ulku] [Bruschini] [Charbon] [Gupta]
[SIGGRAPH 2020]
![Computational Design of Skintight Clothing](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Montes_Computational-Design-of-Skintight-Clothing-150x150.jpg)
Computational Design of Skintight Clothing Presenter(s): [Maestre] [Thomaszewski] [Mudur] [Popa]
[SIGGRAPH 2020]
![Holographic Optics for Thin and Lightweight Virtual Reality](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Maimone_Holographic-Optics-for-Thin-and-Lightweight-Virtual-Reality-150x150.jpg)
Holographic Optics for Thin and Lightweight Virtual Reality Presenter(s): [Maimone] [Wang]
[SIGGRAPH 2020]
![The leopard never changes its spots: realistic pigmentation pattern formation by coupling tissue growth with reaction-diffusion](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Malheiros_The-leopard-never-changes-its-spots_-realistic-pigmentation-pattern-formation-by-coupling-tissue-growth-with-reaction-diffusion-150x150.jpg)
The leopard never changes its spots: realistic pigmentation pattern formation by coupling tissue growth with reaction-diffusion Presenter(s): [Malheiros] [Fensterseifer] [Walter]
[SIGGRAPH 2020]
![Bézier Guarding: Precise Higher-Order Meshing of Curved 2D Domains](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Mandad_Bezier-Guarding-150x150.jpg)
Bézier Guarding: Precise Higher-Order Meshing of Curved 2D Domains Presenter(s): [Mandad] [Campen]
[SIGGRAPH 2020]
![DeepMag: Source Specific Motion Magnification Using Gradient Ascent](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Chen_DeepMag-Source-Specific-Motion-Magnification-Using-Gradient-Ascent-150x150.jpg)
DeepMag: Source Specific Motion Magnification Using Gradient Ascent Presenter(s): [McDuff] [Chen]
[SIGGRAPH 2020]
![XNect: Real-time Multi-Person 3D Motion Capture with a Single RGBCamera](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Mehta_XNect-150x150.jpg)
XNect: Real-time Multi-Person 3D Motion Capture with a Single RGBCamera Presenter(s): [Mehta] [Sotnychenko] [Mueller] [Xu] [Elgharib] [Fua] [Seidel] [Rhodin] [Pons-Moll] [Theobalt]
[SIGGRAPH 2020]
![Catch & Carry: Reusable Neural Controllers for Vision-GuidedWhole-Body Tasks](https://history.siggraph.org/wp-content/uploads/2023/01/2020-Technical-Papers-Merel_Catch-_-Carry_-Reusable-Neural-Controllers-for-Vision-Guided-Whole-Body-Tasks-150x150.jpg)
Catch & Carry: Reusable Neural Controllers for Vision-GuidedWhole-Body Tasks Presenter(s): [Merel] [Tunyasuvunakool] [Ahuja] [Tassa] [Hasenclever] [Pham] [Erez] [Wayne] [Heess]
[SIGGRAPH 2020]
![Resampling-aware Weighting Functions for Bidirectional Path Tracing Using Multiple Light Sub-paths](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Nabata_Resampling-aware-Weighting-Functions-for-Bidirectional-Path-Tracing-Using-Multiple-Light-Sub-paths-150x150.jpg)
Resampling-aware Weighting Functions for Bidirectional Path Tracing Using Multiple Light Sub-paths Presenter(s): [Nabata] [Iwasaki] [Dobashi]
[SIGGRAPH 2020]
![A Level-Set Method for Magnetic Substance Simulation](https://history.siggraph.org/wp-content/uploads/2023/01/2020-Technical-Papers-Ni_A-Level-Set-Method-for-Magnetic-Substance-Simulation-150x150.jpg)
A Level-Set Method for Magnetic Substance Simulation Presenter(s): [Ni] [Zhu] [Wang] [Chen]
[SIGGRAPH 2020]
![Radiative backpropagation: an adjoint method for lightning-fast differentiable rendering](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Nimier-David_Radiative-Backpropagation-150x150.jpg)
Radiative backpropagation: an adjoint method for lightning-fast differentiable rendering Presenter(s): [Nimier-David] [Speierer] [Ruiz] [Jakob]
[SIGGRAPH 2020]
![Algebraic Representations for Volumetric Frame Fields](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Palmer_Algebraic-Representations-for-Volumetric-Frame-Fields-150x150.jpg)
Algebraic Representations for Volumetric Frame Fields Presenter(s): [Palmer] [Bommes] [Solomon]
[SIGGRAPH 2020]
![Tactile Line Drawings for Improved Shape Understanding in Blind and Visually Impaired Users](https://history.siggraph.org/wp-content/uploads/2022/08/2020-Technical-Papers-Panotopoulou_Tactile-Line-Drawings-for-Improved-Shape-Understanding-in-Blind-and-Visually-Impaired-Users-150x150.jpg)
Tactile Line Drawings for Improved Shape Understanding in Blind and Visually Impaired Users Presenter(s): [Panotopoulou] [Zhang] [Qiu] [Yang] [Whiting]
[SIGGRAPH 2020]
![Sliced optimal transport sampling](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Paulin_Sliced-Optimal-Transport-Sampling-1-150x150.jpg)
Sliced optimal transport sampling Presenter(s): [Paulin] [Bonneel] [Coeurjolly] [Iehl] [Webanck] [Desbrun] [Ostromoukhov]
[SIGGRAPH 2020]
![Principal Symmetric Meshes](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Pellis_Principal-Symmetric-Meshes-150x150.jpg)
Principal Symmetric Meshes Presenter(s): [Pellis] [Wang] [Kilian] [Rist] [Pottmann] [Mueller]
[SIGGRAPH 2020]
![On Elastic Geodesic Grids and Their Planar to Spatial Deployment](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Pillwein_On-Elastic-Geodesic-Grids-150x150.jpg)
On Elastic Geodesic Grids and Their Planar to Spatial Deployment Presenter(s): [Pillwein] [Leimer] [Birsak] [Musialski]
[SIGGRAPH 2020]
![Fabrication-in-the-Loop Co-Optimization of Surfaces and Styli for Drawing Haptics](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Piovarci_Fabrication-in-the-Loop-150x150.jpg)
Fabrication-in-the-Loop Co-Optimization of Surfaces and Styli for Drawing Haptics Presenter(s): [Piovarči] [Kaufman] [Levin] [Didyk]
[SIGGRAPH 2020]
![GS-PAT: High-speed Multi-point Sound-fields for Phased Arrays of Transducers](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Plasencia_GS-PAT-150x150.jpg)
GS-PAT: High-speed Multi-point Sound-fields for Phased Arrays of Transducers Presenter(s): [Plasencia] [Hirayama] [Murillo] [Subramanian]
[SIGGRAPH 2020]
![Variance-aware path guiding](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Rath_Variance-Aware-Path-Guiding-150x150.jpg)
Variance-aware path guiding Presenter(s): [Rath] [Grittmann] [Herholz] [Vévoda] [Slusallek] [Křivánek]
[SIGGRAPH 2020]
![Microfacet BSDFs Generated From NDFs, Using Explicit Microgeometry](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Ribardiere_Microfacet-BSDFs-Generated-From-NDFs-Using-Explicit-Microgeometry-150x150.jpg)
Microfacet BSDFs Generated From NDFs, Using Explicit Microgeometry Presenter(s): [Ribardière] [Bringier] [Simonot] [Meneveaux]
[SIGGRAPH 2020]
![Delayed Rejection Metropolis Light Transport](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Rioux-Lavoie_Delayed-Rejection-Metropolis-Light-Transport-150x150.jpg)
Delayed Rejection Metropolis Light Transport Presenter(s): [Rioux-Lavoie] [Litalien] [Gruson] [Hachisuka] [Nowrouzezahrai]
[SIGGRAPH 2020]
![Single-Shot High-Quality Facial Geometry and Skin Appearance Capture](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Riviere_Single-Shot-High-Quality-Facial-Geometry-and-Skin-Appearance-Capture-150x150.jpg)
Single-Shot High-Quality Facial Geometry and Skin Appearance Capture Presenter(s): [Riviere] [Gotardo] [Bradley] [Ghosh] [Beeler]
[SIGGRAPH 2020]
![Corner-Operated Tran-Similar (COTS) Maps, Patterns, and Lattices](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Rossignac_Corner-Operated-Tran-Similar-COTS-Maps-Patterns-and-Lattices-150x150.jpg)
Corner-Operated Tran-Similar (COTS) Maps, Patterns, and Lattices Presenter(s): [Rossignac]
[SIGGRAPH 2020]
![Robust fitting of parallax-aware mixtures for path guiding](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Ruppert_Robust-Fitting-of-Parallax-Aware-Mixtures-for-Path-Guiding-150x150.jpg)
Robust fitting of parallax-aware mixtures for path guiding Presenter(s): [Ruppert] [Herholz] [Lensch]
[SIGGRAPH 2020]
![Robust Eulerian-on-Lagrangian Rods](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Banderas_Robust-Eulerian-on-Lagrangian-Rods-150x150.jpg)
Robust Eulerian-on-Lagrangian Rods Presenter(s): [Sánchez-Banderas] [Rodríguez] [Barreiro] [Otaduy]
[SIGGRAPH 2020]
![Single Image HDR Reconstruction Using a CNN with Masked Featuresand Perceptual Loss](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Santos_Single-Image-HDR-Reconstruction-Using-a-CNN-with-Masked-Features-and-Perceptual-Loss-150x150.jpg)
Single Image HDR Reconstruction Using a CNN with Masked Featuresand Perceptual Loss Presenter(s): [Santos] [Ren] [Kalantari]
[SIGGRAPH 2020]
![KRISM – Krylov Subspace-based Optical Computing of Hyperspectral Images](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Saragadam_KRISM-–-Krylov-Subspace-based-Optical-Computing-of-Hyperspectral-Images-150x150.jpg)
KRISM – Krylov Subspace-based Optical Computing of Hyperspectral Images Presenter(s): [Saragadam] [Sankaranarayanan]
[SIGGRAPH 2020]
![Monte Carlo Geometry Processing: A Grid-Free Approach to PDE-Based Methods on Volumetric Domains](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Sawhney_Monte-Carlo-Geometry-Processing-A-Grid-Free-Approach-to-PDE-Based-Methods-on-Volumetric-Domains-150x150.jpg)
Monte Carlo Geometry Processing: A Grid-Free Approach to PDE-Based Methods on Volumetric Domains Presenter(s): [Sawhney] [Crane]
[SIGGRAPH 2020]
![Inter-surface Maps via Constant-curvature Metrics](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Schmidt_Inter-Surface-Maps-via-Constant-Curvature-Metrics-150x150.jpg)
Inter-surface Maps via Constant-curvature Metrics Presenter(s): [Schmidt] [Campen] [Born] [Kobbelt]
[SIGGRAPH 2020]
![The Eyes Have It: An Integrated Eye and Face Model for Photorealistic Facial Animation](https://history.siggraph.org/wp-content/uploads/2022/08/2020-Technical-Papers-Schwartz_The-Eyes-Have-It-150x150.jpg)
The Eyes Have It: An Integrated Eye and Face Model for Photorealistic Facial Animation Presenter(s): [Schwartz] [Wei] [Wang] [Lombardi] [Simon] [Saragih] [Sheikh]
[SIGGRAPH 2020]
![Developability of Heightfields via Rank Minimization](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Sellan_Developability-of-Heightfields-via-Rank-Minimization-150x150.jpg)
Developability of Heightfields via Rank Minimization Presenter(s): [Sellán] [Aigerman] [Jacobson]
[SIGGRAPH 2020]
![Unsupervised K-modal styled content generation](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Sendik_Unsupervised-K-modal-Styled-Content-Generation-150x150.jpg)
Unsupervised K-modal styled content generation Presenter(s): [Sendik] [Lischinski] [Cohen-Or]
[SIGGRAPH 2020]
![The Design and Evolution of the UberBake Light Baking System](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Seyb_The-design-and-evolution-of-the-UBERBAKE-light-baking-system-150x150.jpg)
The Design and Evolution of the UberBake Light Baking System Presenter(s): [Seyb] [Sloan] [Silvennoinen] [Iwanicki] [Jarosz]
[SIGGRAPH 2020]
![Nonlinear Color Triads for Approximation, Learning, and Direct Manipulation of Color Distributions](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Shugrina_Nonlinear-Color-Triads-for-Approximation-Learning-and-Direct-Manipulation-of-Color-Distributions-150x150.jpg)
Nonlinear Color Triads for Approximation, Learning, and Direct Manipulation of Color Distributions Presenter(s): [Shugrina] [Kar] [Fidler] [Singh]
[SIGGRAPH 2020]
![Wave Curves: Simulating Lagrangian water waves on dynamically deforming surfaces](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Skrivan_Wave-Curves_-Simulating-Lagrangian-water-waves-on-dynamically-deforming-surfaces-150x150.jpg)
Wave Curves: Simulating Lagrangian water waves on dynamically deforming surfaces Presenter(s): [Skrivan] [Soderstrom] [Johansson] [Sprenger] [Museth] [Wojtan]
[SIGGRAPH 2020]
![Accurate Face Rig Approximation with Deep Differential SubspaceReconstruction](https://history.siggraph.org/wp-content/uploads/2023/01/2020-Technical-Papers-Song_Accurate-Face-Rig-Approximation-with-Deep-Differential-Subspace-Reconstruction-150x150.jpg)
Accurate Face Rig Approximation with Deep Differential SubspaceReconstruction Presenter(s): [Song] [Shi] [Reed]
[SIGGRAPH 2020]
![Colored Fused Filament Fabrication](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Song_Colored-Fused-Filament-Fabrication-150x150.jpg)
Colored Fused Filament Fabrication Presenter(s): [Song] [Martínez] [Bedell] [Vennin] [Lefebvre]
[SIGGRAPH 2020]
![Local Motion Phases for Learning Multi-Contact Character Movements](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Starke_Local-Motion-Phases-for-Learning-Multi-Contact-Character-Movements-150x150.jpg)
Local Motion Phases for Learning Multi-Contact Character Movements Presenter(s): [Starke] [Zhao] [Komura] [Zaman]
[SIGGRAPH 2020]
![A Smoothness Energy Without Boundary Distortion for Curved Surfaces](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Stein_A-Smoothness-Energy-Without-Boundary-Distortion-for-Curved-Surfaces-150x150.jpg)
A Smoothness Energy Without Boundary Distortion for Curved Surfaces Presenter(s): [Stein] [Jacobson] [Wardetzky] [Grinspun]
[SIGGRAPH 2020]
![Accurate Rendering of Liquid-crystals and Inhomogeneous Optically Anisotropic Media](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Steinberg_Accurate-Rendering-of-Liquid-crystals-and-Inhomogeneous-Optically-Anisotropic-Media-150x150.jpg)
Accurate Rendering of Liquid-crystals and Inhomogeneous Optically Anisotropic Media Presenter(s): [Steinberg]
[SIGGRAPH 2020]
![End-to-end Learned, Optically Coded Super-resolution SPAD Camera](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Sun_End-to-end-Learned-Optically-Coded-Super-resolution-SPAD-Camera-150x150.jpg)
End-to-end Learned, Optically Coded Super-resolution SPAD Camera Presenter(s): [Sun] [Zhang] [Dun] [Ghanem] [Peng] [Heidrich]
[SIGGRAPH 2020]
![MichiGAN: Multi-Input-Conditioned Hair Image Generation for Portrait Editing](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Tan_MichiGAN-150x150.jpg)
MichiGAN: Multi-Input-Conditioned Hair Image Generation for Portrait Editing Presenter(s): [Tan] [Chai] [Chen] [Liao] [Chu] [Yuan] [Tulyakov] [Yu]
[SIGGRAPH 2020]
![Interactive Video Stylization Using Few-Shot Patch-Based Training](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Texler_Interactive-Video-Stylization-Using-Few-Shot-Patch-Based-Training-150x150.jpg)
Interactive Video Stylization Using Few-Shot Patch-Based Training Presenter(s): [Texler] [Futschik] [Kučera] [Jamriška] [Sochorová] [Chai] [Tulyakov] [Sýkora]
[SIGGRAPH 2020]
![A Low-parametric Rhombic Microstructure Family for Irregular Lattices](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Tozoni_A-Low-Parametric-Rhombic-Microstructure-Family-Irregular-Lattices-150x150.jpg)
A Low-parametric Rhombic Microstructure Family for Irregular Lattices Presenter(s): [Tozoni] [Dumas] [Jiang] [Panetta] [Panozzo] [Zorin]
[SIGGRAPH 2020]
![Tactile Rendering Based on Skin Stress Optimization](https://history.siggraph.org/wp-content/uploads/2022/08/2020-Technical-Papers-Verschoor_Tactile-Rendering-Based-on-Skin-Stress-Optimization-150x150.jpg)
Tactile Rendering Based on Skin Stress Optimization Presenter(s): [Verschoor] [Casas] [Otaduy]
[SIGGRAPH 2020]
![A Massively Parallel and Scalable Multi-GPU Material Point Method](https://history.siggraph.org/wp-content/uploads/2023/01/2020-Technical-Papers-Wang_A-Massively-Parallel-and-Scalable-Multi-GPU-Material-Point-Method-150x150.jpg)
A Massively Parallel and Scalable Multi-GPU Material Point Method Presenter(s): [Wang] [Qiu] [Slattery] [Fang] [Li] [Zhu] [Zhu] [Tang] [Manocha] [Jiang]
[SIGGRAPH 2020]
![Attribute2Font: Creating Fonts You Want From Attributes](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Wang_Attribute2Font-Creating-Fonts-You-Want-From-Attributes-150x150.jpg)
Attribute2Font: Creating Fonts You Want From Attributes Presenter(s): [Wang] [Gao] [Lian]
[SIGGRAPH 2020]
![Codimensional Surface Tension Flow using Moving-Least-SquaresParticles](https://history.siggraph.org/wp-content/uploads/2023/01/2020-Technical-Papers-Wang_Codimensional-Surface-Tension-Flow-using-Moving-Least-Squares-Particles-150x150.jpg)
Codimensional Surface Tension Flow using Moving-Least-SquaresParticles Presenter(s): [Wang] [Jin] [Luo] [Yang] [Zhu]
[SIGGRAPH 2020]
![Dynamic Graph CNN for Learning on Point Clouds](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Wang_Dynamic-Graph-CNN-for-Learning-on-Point-Clouds-150x150.jpg)
Dynamic Graph CNN for Learning on Point Clouds Presenter(s): [Wang] [Sun] [Liu] [Sarma] [Bronstein] [Solomon]
[SIGGRAPH 2020]
![Exact and efficient polyhedral envelope containment check](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Wang_Exact-and-Efficient-Polyhedral-Envelope-Containment-Check-150x150.jpg)
Exact and efficient polyhedral envelope containment check Presenter(s): [Wang] [Schneider] [Hu] [Attene] [Panozzo]
[SIGGRAPH 2020]
![Example-based Microstructure Rendering With Constant Storage](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Wang_Example-based-Microstructure-Rendering-With-Constant-Storage-150x150.jpg)
Example-based Microstructure Rendering With Constant Storage Presenter(s): [Wang] [Hasan] [Holzschuch] [Yan]
[SIGGRAPH 2020]
![Hierarchical Optimization Time Integration for CFL-rate MPM Stepping](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Wang_Hierarchical-Optimization-Time-Integration-for-CFL-rate-MPM-Stepping-150x150.jpg)
Hierarchical Optimization Time Integration for CFL-rate MPM Stepping Presenter(s): [Wang] [Li] [Fang] [Zhang] [Gao] [Tang] [Kaufman] [Jiang]
[SIGGRAPH 2020]
![MGCN: Descriptor Learning Using Multiscale GCNs](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Wang_MGCN-150x150.jpg)
MGCN: Descriptor Learning Using Multiscale GCNs Presenter(s): [Wang] [Ren] [Yan] [Guo] [Zhang] [Wonka]
[SIGGRAPH 2020]
![Vid2Curve: simultaneous camera motion estimation and thin structure reconstruction from an RGB video](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Peng_Vid2Curve-150x150.jpg)
Vid2Curve: simultaneous camera motion estimation and thin structure reconstruction from an RGB video Presenter(s): [Wang] [Liu] [Chen] [Chu] [Theobalt] [Wang]
[SIGGRAPH 2020]
![Continuous multiple importance sampling](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-West_Continuous-Multiple-Importance-Sampling-150x150.jpg)
Continuous multiple importance sampling Presenter(s): [West] [Georgiev] [Gruson] [Hachisuka]
[SIGGRAPH 2020]
![CNNs on Surfaces using Rotation-Equivariant Features](https://history.siggraph.org/wp-content/uploads/2022/08/2020-Technical-Papers-Wiersma_CNNs-on-Surfaces-using-Rotation-Equivariant-Features-150x150.jpg)
CNNs on Surfaces using Rotation-Equivariant Features Presenter(s): [Wiersma] [Eisemann] [Hildebrandt]
[SIGGRAPH 2020]
![Enlighten Me: Importance of Brightness and Shadow for Character Emotion and Appeal](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Wisessing_Enlighten-Me-Importance-of-Brightness-and-Shadow-for-Character-Emotion-and-Appeal-150x150.jpg)
Enlighten Me: Importance of Brightness and Shadow for Character Emotion and Appeal Presenter(s): [Wisessing] [Zibrek] [Cunningham] [Dingliana] [McDonnell]
[SIGGRAPH 2020]
![AnisoMPM: Animating Anisotropic Damage Mechanics](https://history.siggraph.org/wp-content/uploads/2023/01/2020-Technical-Papers-Wolper_AnisoMPM-Animating-Anisotropic-Damage-Mechanics-150x150.jpg)
AnisoMPM: Animating Anisotropic Damage Mechanics Presenter(s): [Wolper] [Chen] [Li] [Fang] [Qu] [Lu] [Cheng] [Jiang]
[SIGGRAPH 2020]
![A Scalable Approach to Control Diverse Behaviors for PhysicallySimulated Characters](https://history.siggraph.org/wp-content/uploads/2023/01/2020-technical-Papers-Won_A-Scalable-Approach-to-Control-Diverse-Behaviors-for-Physically-Simulated-Characters-150x150.jpg)
A Scalable Approach to Control Diverse Behaviors for PhysicallySimulated Characters Presenter(s): [Won] [Gopinath] [Hodgins]
[SIGGRAPH 2020]
![Analytic spherical harmonic gradients for real-time rendering with many polygonal area lights](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Wu_Analytic-Spherical-Harmonic-Gradients-for-Real-Time-Rendering-with-Many-Polygonal-Area-Lights-150x150.jpg)
Analytic spherical harmonic gradients for real-time rendering with many polygonal area lights Presenter(s): [Wu] [Cai] [Zhao] [Ramamoorthi]
[SIGGRAPH 2020]
![Automatic Structure Synthesis for 3D Woven Relief](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Wu_Automatic-Structure-Synthesis-for-3D-Woven-Relief-150x150.jpg)
Automatic Structure Synthesis for 3D Woven Relief Presenter(s): [Wu] [Harvey] [Zhang] [Kroszner] [Hagan] [Marschner]
[SIGGRAPH 2020]
![Neural Supersampling for Real-time Rendering](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Xiao_Neural-Supersampling-for-Real-time-Rendering-150x150.jpg)
Neural Supersampling for Real-time Rendering Presenter(s): [Xiao] [Nouri] [Chapman] [Fix] [Lanman] [Kaplanyan]
[SIGGRAPH 2020]
![RigNet: Neural Rigging for Articulated Characters](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Xu_RigNet-Neural-Rigging-for-Articulated-Characters-150x150.jpg)
RigNet: Neural Rigging for Articulated Characters Presenter(s): [Xu] [Zhou] [Kalogerakis] [Landreth] [Singh]
[SIGGRAPH 2020]
![TilinGNN: Learning to Tile With Self-supervised Graph Neural Network](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Xu_TilinGNN-150x150.jpg)
TilinGNN: Learning to Tile With Self-supervised Graph Neural Network Presenter(s): [Xu] [Hui] [Fu] [Zhang]
[SIGGRAPH 2020]
![Noise-resilient Reconstruction of Panoramas and 3D Scenes Using Robot-mounted Unsynchronized Commodity RGB-D Cameras](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Yang_Noise-resilient-Reconstruction-of-Panoramas-and-3D-Scenes-Using-Robot-mounted-Unsynchronized-Commodity-RGB-D-Cameras-150x150.jpg)
Noise-resilient Reconstruction of Panoramas and 3D Scenes Using Robot-mounted Unsynchronized Commodity RGB-D Cameras Presenter(s): [Yang] [Li] [Cao] [Fu] [Lai] [Kobbelt] [Hu]
[SIGGRAPH 2020]
![ARAnimator: In-situ Character Animation in Mobile AR withUser-defined Motion Gestures](https://history.siggraph.org/wp-content/uploads/2022/09/2020-Technical-Papers-Ye_ARAnimator-In-situ-Character-Animation-in-Mobile-AR-withUser-defined-Motion-Gestures-150x150.jpg)
ARAnimator: In-situ Character Animation in Mobile AR withUser-defined Motion Gestures Presenter(s): [Ye] [Kwan] [Su] [Fu]
[SIGGRAPH 2020]
![Penrose: From Mathematical Notation to Beautiful Diagrams](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Ye_PENROSE-150x150.jpg)
Penrose: From Mathematical Notation to Beautiful Diagrams Presenter(s): [Ye] [Ni] [Krieger] [Ma’ayan] [Wise] [Aldrich] [Sunshine] [Crane]
[SIGGRAPH 2020]
![Specular Manifold Sampling for Rendering High-frequency Caustics and Glints](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Zeltner_Specular-Manifold-Sampling-for-Rendering-High-Frequency-Caustics-and-Glints-150x150.jpg)
Specular Manifold Sampling for Rendering High-frequency Caustics and Glints Presenter(s): [Zeltner] [Georgiev] [Jakob]
[SIGGRAPH 2020]
![C-Space Tunnel Discovery for Puzzle Path Planning](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Zhang_C-Space-Tunnel-Discovery-for-Puzzle-Path-Planning-150x150.jpg)
C-Space Tunnel Discovery for Puzzle Path Planning Presenter(s): [Zhang] [Belfer] [Kry] [Vouga]
[SIGGRAPH 2020]
![Deep Generative Modeling for Scene Synthesis via Hybrid Representations](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Zhang_Deep-Generative-Modeling-for-Scene-Synthesis-via-Hybrid-Representations-150x150.jpg)
Deep Generative Modeling for Scene Synthesis via Hybrid Representations Presenter(s): [Zhang] [Yang] [Ma] [Luo] [Huth] [Vouga] [Huang]
[SIGGRAPH 2020]
![Generating Digital Painting Lighting Effects via RGB-space Geometry](https://history.siggraph.org/wp-content/uploads/2022/07/2020-SIGGRAPH-Image-Not-Available-150x150.jpg)
Generating Digital Painting Lighting Effects via RGB-space Geometry Presenter(s): [Zhang] [Simo-Serra] [Ji] [Liu]
[SIGGRAPH 2020]
![Octahedral Frames for Feature-Aligned Cross-Fields](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Zhang_Octahedral-Frames-for-Feature-Aligned-Cross-Fields-150x150.jpg)
Octahedral Frames for Feature-Aligned Cross-Fields Presenter(s): [Zhang] [Vehkter] [Chien] [Bommes] [Vouga] [Solomon]
[SIGGRAPH 2020]
![Path-space differentiable rendering](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Zhang_Path-Space-Differentiable-Rendering-150x150.jpg)
Path-space differentiable rendering Presenter(s): [Zhang] [Miller] [Yan] [Gkioulekas] [Zhao]
[SIGGRAPH 2020]