SIGGRAPH 2022: Technical Papers
Technical Papers Chair:
Jury Member(s):
- Miika Aittala
- Amit Haim Bermano
- Mikhail Bessmeltsev
- Marcel Campen
- Jiawen Chen
- Sunghee Choi
- Julie Digne
- Sanja Fidler
- Ohad Fried
- Philip Chi-Wing Fu
- Yulia Gryaditskaya
- Rana Hanocka
- Mingming He
- Peter Hedman
- Jia-Bin Huang
- Danny M. Kaufman
- Mina Konaković-Luković
- Sung-Hee Lee
- Lingjie Liu
- Rafal K. Mantiuk
- Dominik L. Michels
- Gerard Pons-Moll
- Tianjia Shao
- Hao Su
- Andrea Tagliasacchi
- Siyu Tang
- Wenping Wang
- Alexander Wilkie
- Feng Xu
- Ling-Qi Yan
- Lap-Fai Yu
- Bo Zhu
Overview:
In this premier venue for disseminating new scholarly work, where scientists and researchers present the latest industry advancements that inspire new ideas, ignite memorable discussions, and propel us forward.
Papers:
Sort By
Title
Presenter
A clebsch method for free-surface vortical flow simulation
Presenter(s):
[Xiong]
[Wang]
[Wang]
[Zhu]
[SIGGRAPH 2022]
A fast unsmoothed aggregation algebraic multigrid framework for the large-scale simulation of incompressible flow
Presenter(s):
[Shao]
[Huang]
[Michels]
[SIGGRAPH 2022]
A general two-stage initialization for sag-free deformable simulations
Presenter(s):
[Hsu]
[Truong]
[Yuksel]
[Wu]
[SIGGRAPH 2022]
A GPU-based multilevel additive schwarz preconditioner for cloth and deformable body simulation
Presenter(s):
[Wu]
[Wang]
[Wang]
[SIGGRAPH 2022]
A moving eulerian-lagrangian particle method for thin film and foam simulation
Presenter(s):
[Deng]
[Wang]
[Kong]
[Xiong]
[Xian]
[Zhu]
[SIGGRAPH 2022]
A unified newton barrier method for multibody dynamics
Presenter(s):
[Chen]
[Li]
[Lan]
[Su]
[Yang]
[Jiang]
[SIGGRAPH 2022]
Accommodative holography: improving accommodation response for perceptually realistic holographic displays
Presenter(s):
[Kim]
[Nam]
[Lee]
[Seo]
[Lee]
[SIGGRAPH 2022]
Adaptive rigidification of elastic solids
Presenter(s):
[Mercier-Aubin]
[Kry]
[Winter]
[Levin]
[SIGGRAPH 2022]
ADOP: approximate differentiable one-pixel point rendering
Presenter(s):
[Rückert]
[Franke]
[Stamminger]
[SIGGRAPH 2022]
Affine body dynamics: fast, stable and intersection-free simulation of stiff materials
Presenter(s):
[Lan]
[Kaufman]
[Li]
[Jiang]
[Yang]
[SIGGRAPH 2022]
Alpha wrapping with an offset
Presenter(s):
[Portaneri]
[Rouxel-Labbé]
[Hemmer]
[Cohen-Steiner]
[Alliez]
[SIGGRAPH 2022]
Approximate convex decomposition for 3D meshes with collision-aware concavity and tree search
Presenter(s):
[Wei]
[Liu]
[Ling]
[Su]
[SIGGRAPH 2022]
Artemis: articulated neural pets with appearance and motion synthesis
Presenter(s):
[Luo]
[Xu]
[Jiang]
[Zhou]
[Qiu]
[Zhang]
[Yang]
[Yu]
[Xu]
[SIGGRAPH 2022]
As-locally-uniform-as-possible reshaping of vector clip-art
Presenter(s):
[Araújo]
[Vining]
[Rosales]
[Gori]
[Sheffer]
[SIGGRAPH 2022]
ASE: large-scale reusable adversarial skill embeddings for physically simulated characters
Presenter(s):
[Peng]
[Guo]
[Halper]
[Levine]
[Fidler]
[SIGGRAPH 2022]
ASSET: autoregressive semantic scene editing with transformers at high resolutions
Presenter(s):
[Liu]
[Shetty]
[Hinz]
[Fisher]
[Zhang]
[Park]
[Kalogerakis]
[SIGGRAPH 2022]
Authentic volumetric avatars from a phone scan
Presenter(s):
[Cao]
[Simon]
[Kim]
[Schwartz]
[Zollhoefer]
[Saito]
[Lombardi]
[Wei]
[Belko]
[Yu]
[Sheikh]
[Saragih]
[SIGGRAPH 2022]
Automatic quantization for physics-based simulation
Presenter(s):
[Liu]
[Shi]
[Zhang]
[Yang]
[Ma]
[Xu]
[SIGGRAPH 2022]
AvatarCLIP: zero-shot text-driven generation and animation of 3D avatars
Presenter(s):
[Hong]
[Zhang]
[Pan]
[Cai]
[Yang]
[Liu]
[SIGGRAPH 2022]
Aδ: autodiff for discontinuous programs - applied to shaders
Presenter(s):
[Yang]
[Barnes]
[Adams]
[Finkelstein]
[SIGGRAPH 2022]
Blending camera and 77 GHz radar sensing for equitable, robust plethysmography
Presenter(s):
[Vilesov]
[Chari]
[Armouti]
[Harish]
[Kulkarni]
[Deoghare]
[Jalilian]
[Kadambi]
[SIGGRAPH 2022]
Character articulation through profile curves
Presenter(s):
[Goes]
[Sheffler]
[Fleischer]
[SIGGRAPH 2022]
CLIPasso: semantically-aware object sketching
Presenter(s):
[Vinker]
[Pajouheshgar]
[Bo]
[Bachmann]
[Bermano]
[Cohen-Or]
[Zamir]
[Shamir]
[SIGGRAPH 2022]
Closed-loop control of direct ink writing via reinforcement learning
Presenter(s):
[Piovarči]
[Foshey]
[Xu]
[Erps]
[Babaei]
[Didyk]
[Rusinkiewicz]
[Matusik]
[Bickel]
[SIGGRAPH 2022]
ComplexGen: CAD reconstruction by B-rep chain complex generation
Presenter(s):
[Guo]
[Liu]
[Pan]
[Liu]
[Tong]
[Guo]
[SIGGRAPH 2022]
Computational design of high-level interlocking puzzles
Presenter(s):
[Wang]
[Song]
[Bickel]
[SIGGRAPH 2022]
Computational design of passive grippers
Presenter(s):
[Kodnongbua]
[Good]
[Lou]
[Lipton]
[Schulz]
[SIGGRAPH 2022]
Computational pattern making from 3D garment models
Presenter(s):
[Pietroni]
[Falque]
[Liu]
[Vidal-Calleja]
[Sorkine-Hornung]
[SIGGRAPH 2022]
Computing sparse integer-constrained cones for conformal parameterizations
Presenter(s):
[Li]
[Fang]
[Ouyang]
[Liu]
[Fu]
[SIGGRAPH 2022]
Contact-centric deformation learning
Presenter(s):
[Romero]
[Casas]
[Chiaramonte]
[Otaduy]
[SIGGRAPH 2022]
Dark stereo: improving depth perception under low luminance
Presenter(s):
[Wolski]
[Zhong]
[Myszkowski]
[Mantiuk]
[SIGGRAPH 2022]
DCT-net: domain-calibrated translation for portrait stylization
Presenter(s):
[Men]
[Yao]
[Cui]
[Lian]
[Xie]
[SIGGRAPH 2022]
DeepFaceVideoEditing: sketch-based deep editing of face videos
Presenter(s):
[Liu]
[Chen]
[Lai]
[Li]
[Jiang]
[Fu]
[Gao]
[SIGGRAPH 2022]
DeepPhase: periodic autoencoders for learning motion phase manifolds
Presenter(s):
[Starke]
[Mason]
[Komura]
[SIGGRAPH 2022]
DEF: deep estimation of sharp geometric features in 3D shapes
Presenter(s):
[Matveev]
[Rakhimov]
[Artemov]
[Bobrovskikh]
[Egiazarian]
[Bogomolov]
[Panozzo]
[Zorin]
[Burnaev]
[SIGGRAPH 2022]
DeltaConv: anisotropic operators for geometric deep learning on point clouds
Presenter(s):
[Wiersma]
[Nasikun]
[Eisemann]
[Hildebrandt]
[SIGGRAPH 2022]
Detecting viewer-perceived intended vector sketch connectivity
Presenter(s):
[Yin]
[Liu]
[Lin]
[Vining]
[Rhodin]
[Sheffer]
[SIGGRAPH 2022]
Developability-driven piecewise approximations for triangular meshes
Presenter(s):
[Zhao]
[Fang]
[Ouyang]
[Zhang]
[Liu]
[Fu]
[SIGGRAPH 2022]
Differentiable signed distance function rendering
Presenter(s):
[Vicini]
[Speierer]
[Jakob]
[SIGGRAPH 2022]
Disentangling random and cyclic effects in time-lapse sequences
Presenter(s):
[Härkönen]
[Aittala]
[Kynkäänniemi]
[Laine]
[Aila]
[Lehtinen]
[SIGGRAPH 2022]
DR.JIT: a just-in-time compiler for differentiable rendering
Presenter(s):
[Jakob]
[Speierer]
[Roussel]
[Vicini]
[SIGGRAPH 2022]
Dual octree graph networks for learning adaptive volumetric shape representations
Presenter(s):
[Wang]
[Tong]
[Liu]
[SIGGRAPH 2022]
Dynamic optimal space partitioning for redirected walking in multi-user environment
Presenter(s):
[Jeon]
[Kwon]
[Hwang]
[Cho]
[Kim]
[Park]
[Lee]
[SIGGRAPH 2022]
EARS: efficiency-aware russian roulette and splitting
Presenter(s):
[Rath]
[Grittmann]
[Herholz]
[Weier]
[Slusallek]
[SIGGRAPH 2022]
Ecoclimates: climate-response modeling of vegetation
Presenter(s):
[Palubicki]
[Makowski]
[Gajda]
[Hädrich]
[Michels]
[Pirk]
[SIGGRAPH 2022]
Efficiency-aware multiple importance sampling for bidirectional rendering algorithms
Presenter(s):
[Grittmann]
[Yazici]
[Georgiev]
[Slusallek]
[SIGGRAPH 2022]
Efficient estimation of boundary integrals for path-space differentiable rendering
Presenter(s):
[Yan]
[Lassner]
[Budge]
[Dong]
[Zhao]
[SIGGRAPH 2022]
Efficient kinetic simulation of two-phase flows
Presenter(s):
[Li]
[Ma]
[Liu]
[Desbrun]
[SIGGRAPH 2022]
Egocentric scene reconstruction from an omnidirectional video
Presenter(s):
[Jang]
[Meuleman]
[Kang]
[Kim]
[Richardt]
[Kim]
[SIGGRAPH 2022]
EMBER: exact mesh booleans via efficient & robust local arrangements
Presenter(s):
[Trettner]
[Nehring-Wirxel]
[Kobbelt]
[SIGGRAPH 2022]
Energetically consistent inelasticity for optimization time integration
Presenter(s):
[Li]
[Li]
[Jiang]
[SIGGRAPH 2022]
Estimation of yarn-level simulation models for production fabrics
Presenter(s):
[Sperl]
[Sánchez-Banderas]
[Li]
[Wojtan]
[Otaduy]
[SIGGRAPH 2022]
EyeNeRF: a hybrid representation for photorealistic synthesis, animation and relighting of human eyes
Presenter(s):
[Li]
[Meka]
[Mueller]
[Buehler]
[Hilliges]
[Beeler]
[SIGGRAPH 2022]
Face deblurring using dual camera fusion on mobile phones
Presenter(s):
[Lai]
[Shih]
[Chu]
[Wu]
[Tsai]
[Krainin]
[Sun]
[Liang]
[SIGGRAPH 2022]
Facial hair tracking for high fidelity performance capture
Presenter(s):
[Winberg]
[Zoss]
[Chandran]
[Gotardo]
[Bradley]
[SIGGRAPH 2022]
Fast evaluation of smooth distance constraints on co-dimensional geometry
Presenter(s):
[Madan]
[Levin]
[SIGGRAPH 2022]
Filament based plasma
Presenter(s):
[Padilla]
[Gross]
[Knöppel]
[Chern]
[Pinkall]
[Schröder]
[SIGGRAPH 2022]
Free2CAD: parsing freehand drawings into CAD commands
Presenter(s):
[Li]
[Pan]
[Bousseau]
[Mitra]
[SIGGRAPH 2022]
GANimator: neural motion synthesis from a single sequence
Presenter(s):
[Li]
[Aberman]
[Zhang]
[Hanocka]
[Sorkine-Hornung]
[SIGGRAPH 2022]
Generalized resampled importance sampling: foundations of ReSTIR
Presenter(s):
[Lin]
[Kettunen]
[Bitterli]
[Pantaleoni]
[Yuksel]
[Wyman]
[SIGGRAPH 2022]
Grid-free Monte Carlo for PDEs with spatially varying coefficients
Presenter(s):
[Sawhney]
[Seyb]
[Jarosz]
[Crane]
[SIGGRAPH 2022]
Guided bubbles and wet foam for realistic whitewater simulation
Presenter(s):
[Wretborn]
[Flynn]
[Stomakhin]
[SIGGRAPH 2022]
High dynamic range and super-resolution from raw image bursts
Presenter(s):
[Lecouat]
[Eboli]
[Ponce]
[Mairal]
[SIGGRAPH 2022]
Image features influence reaction time: a learned probabilistic perceptual model for saccade latency
Presenter(s):
[Duinkharjav]
[Chakravarthula]
[Brown]
[Patney]
[Sun]
[SIGGRAPH 2022]
Implicit neural representation for physics-driven actuated soft bodies
Presenter(s):
[Yang]
[Kim]
[Zoss]
[Gözcü]
[Gross]
[Solenthaler]
[SIGGRAPH 2022]
Instant neural graphics primitives with a multiresolution hash encoding
Presenter(s):
[Müller]
[Evans]
[Schied]
[Keller]
[SIGGRAPH 2022]
Interactive augmented reality storytelling guided by scene semantics
Presenter(s):
[Li]
[Li]
[Huang]
[Yu]
[SIGGRAPH 2022]
Iterative poisson surface reconstruction (iPSR) for unoriented points
Presenter(s):
[Hou]
[Wang]
[Wang]
[Qin]
[Qian]
[He]
[SIGGRAPH 2022]
Joint neural phase retrieval and compression for energy- and computation-efficient holography on the edge
Presenter(s):
[Wang]
[Chakravarthula]
[Sun]
[Chen]
[SIGGRAPH 2022]
Learning high-DOF reaching-and-grasping via dynamic representation of gripper-object interaction
Presenter(s):
[She]
[Hu]
[Xu]
[Liu]
[Xu]
[Huang]
[SIGGRAPH 2022]
Learning to use chopsticks in diverse gripping styles
Presenter(s):
[Yang]
[Yin]
[Liu]
[SIGGRAPH 2022]
Local anatomically-constrained facial performance retargeting
Presenter(s):
[Chandran]
[Ciccone]
[Gross]
[Bradley]
[SIGGRAPH 2022]
Loki: a unified multiphysics simulation framework for production
Presenter(s):
[Lesser]
[Stomakhin]
[Daviet]
[Wretborn]
[Edholm]
[Lee]
[Schweickart]
[Zhai]
[Flynn]
[Moffat]
[SIGGRAPH 2022]
MatBuilder: mastering sampling uniformity over projections
Presenter(s):
[Paulin]
[Bonneel]
[Coeurjolly]
[Iehl]
[Keller]
[Ostromoukhov]
[SIGGRAPH 2022]
MatFormer: a generative model for procedural materials
Presenter(s):
[Guerrero]
[Hasan]
[Sunkavalli]
[Mech]
[Boubekeur]
[Mitra]
[SIGGRAPH 2022]
Modeling and rendering non-euclidean spaces approximated with concatenated polytopes
Presenter(s):
[Kim]
[Doh]
[Han]
[SIGGRAPH 2022]
Moving level-of-detail surfaces
Presenter(s):
[Mercier]
[Lescoat]
[Roussillon]
[Boubekeur]
[Thiery]
[SIGGRAPH 2022]
NeAT: neural adaptive tomography
Presenter(s):
[Rückert]
[Wang]
[Li]
[Idoughi]
[Heidrich]
[SIGGRAPH 2022]
NeROIC: neural rendering of objects from online image collections
Presenter(s):
[Kuang]
[Olszewski]
[Chai]
[Huang]
[Achlioptas]
[Tulyakov]
[SIGGRAPH 2022]
Neural jacobian fields: learning intrinsic mappings of arbitrary meshes
Presenter(s):
[Aigerman]
[Gupta]
[Kim]
[Chaudhuri]
[Saito]
[Groueix]
[SIGGRAPH 2022]
Neural rendering in a room: amodal 3D understanding and free-viewpoint rendering for the closed scene composed of pre-captured objects
Presenter(s):
[Yang]
[Zhang]
[Li]
[Cui]
[Fanello]
[Bao]
[Zhang]
[SIGGRAPH 2022]
NeuralSound: learning-based modal sound synthesis with acoustic transfer
Presenter(s):
[Jin]
[Li]
[Wang]
[Manocha]
[SIGGRAPH 2022]
NeuralTailor: reconstructing sewing pattern structures from 3D point clouds of garments
Presenter(s):
[Korosteleva]
[Lee]
[SIGGRAPH 2022]
NIMBLE: a non-rigid hand model with bones and muscles
Presenter(s):
[Li]
[Zhang]
[Qiu]
[Jiang]
[Li]
[Ma]
[Zhang]
[Xu]
[Yu]
[SIGGRAPH 2022]
Noise-based enhancement for foveated rendering
Presenter(s):
[Tariq]
[Tursun]
[Didyk]
[SIGGRAPH 2022]
Penetration-free projective dynamics on the GPU
Presenter(s):
[Lan]
[Ma]
[Yang]
[Zheng]
[Li]
[Jiang]
[SIGGRAPH 2022]
Perception of letter glyph parameters for InfoTypography
Presenter(s):
[Lang]
[Nacenta]
[SIGGRAPH 2022]
Photo-to-shape material transfer for diverse structures
Presenter(s):
[Hu]
[Su]
[Chen]
[Kaick]
[Huang]
[SIGGRAPH 2022]
Physics informed neural fields for smoke reconstruction with sparse data
Presenter(s):
[Chu]
[Liu]
[Zheng]
[Frankz]
[Seidel]
[Theobalt]
[Zayer]
[SIGGRAPH 2022]
Physics-based character controllers using conditional VAEs
Presenter(s):
[Won]
[Gopinath]
[Hodgins]
[SIGGRAPH 2022]
Piecewise-smooth surface fitting onto unstructured 3D sketches
Presenter(s):
[Yu]
[Arora]
[BÆrentzen]
[Singh]
[Bousseau]
[SIGGRAPH 2022]
Position-free multiple-bounce computations for smith microfacet BSDFs
Presenter(s):
[Wang]
[Jin]
[Fan]
[Yang]
[Holzschuch]
[Yan]
[SIGGRAPH 2022]
Practical level-of-detail aggregation of fur appearance
Presenter(s):
[Zhu]
[Zhao]
[Wang]
[Xu]
[Yan]
[SIGGRAPH 2022]
Procedural texturing of solid wood with knots
Presenter(s):
[Larsson]
[Ijiri]
[Yoshida]
[Huber]
[Fredriksson]
[Broman]
[Igarashi]
[SIGGRAPH 2022]
R2E2: low-latency path tracing of terabyte-scale scenes using thousands of cloud CPUs
Presenter(s):
[Fouladi]
[Shacklett]
[Poms]
[Arora]
[Ozdemir]
[Raghavan]
[Hanrahan]
[Fatahalian]
[SIGGRAPH 2022]
Real-time controllable motion transition for characters
Presenter(s):
[Tang]
[Wang]
[Hu]
[Gong]
[Yi]
[Kou]
[Jin]
[SIGGRAPH 2022]
Regression-based Monte Carlo integration
Presenter(s):
[Salaün]
[Gruson]
[Hua]
[Hachisuka]
[Singh]
[SIGGRAPH 2022]
Robust computation of implicit surface networks for piecewise linear functions
Presenter(s):
[Du]
[Zhou]
[Carr]
[Ju]
[SIGGRAPH 2022]
Scalable neural indoor scene rendering
Presenter(s):
[Wu]
[Xu]
[Zhu]
[Bao]
[Huang]
[Tompkin]
[Xu]
[SIGGRAPH 2022]
Seeing through obstructions with diffractive cloaking
Presenter(s):
[Shi]
[Bahat]
[Baek]
[Fu]
[Amata]
[Li]
[Chakravarthula]
[Heidrich]
[Heide]
[SIGGRAPH 2022]
Semantically supervised appearance decomposition for virtual staging from a single panorama
Presenter(s):
[Zhi]
[Chen]
[Boyadzhiev]
[Kang]
[Hebert]
[Narasimhan]
[SIGGRAPH 2022]
Simulation and optimization of magnetoelastic thin shells
Presenter(s):
[Chen]
[Ni]
[Zhu]
[Wang]
[Chen]
[SIGGRAPH 2022]
Sketch2Pose: estimating a 3D character pose from a bitmap sketch
Presenter(s):
[Brodt]
[Bessmeltsev]
[SIGGRAPH 2022]
SNeRF: stylized neural implicit representations for 3D scenes
Presenter(s):
[Nguyen-Phuoc]
[Liu]
[Xiao]
[SIGGRAPH 2022]
SPAGHETTI: editing implicit shapes through part aware generation
Presenter(s):
[Hertz]
[Perel]
[Giryes]
[Sorkine-Hornung]
[Cohen-Or]
[SIGGRAPH 2022]
Sparse ellipsometry: portable acquisition of polarimetric SVBRDF and shape with unstructured flash photography
Presenter(s):
[Hwang]
[Jeon]
[Munoz]
[Gutierrez]
[Tong]
[Kim]
[SIGGRAPH 2022]
SPCBPT: subspace-based probabilistic connections for bidirectional path tracing
Presenter(s):
[Su]
[Li]
[Wang]
[SIGGRAPH 2022]
Spelunking the deep: guaranteed queries on general neural implicit surfaces via range analysis
Presenter(s):
[Sharp]
[Jacobson]
[SIGGRAPH 2022]
stelaCSF: a unified model of contrast sensitivity as the function of spatio-temporal frequency, eccentricity, luminance and area
Presenter(s):
[Mantiuk]
[Ashraf]
[Chapiro]
[SIGGRAPH 2022]
StyleGAN-NADA: CLIP-guided domain adaptation of image generators
Presenter(s):
[Gal]
[Patashnik]
[Maron]
[Bermano]
[Chechik]
[Cohen-Or]
[SIGGRAPH 2022]
Text2Human: text-driven controllable human image generation
Presenter(s):
[Jiang]
[Yang]
[Qiu]
[Wu]
[Loy]
[Liu]
[SIGGRAPH 2022]
TopoCut: fast and robust planar cutting of arbitrary domains
Presenter(s):
[Fang]
[Desbrun]
[Bao]
[Huang]
[SIGGRAPH 2022]
Umbrella meshes: elastic mechanisms for freeform shape deployment
Presenter(s):
[Ren]
[Kusupati]
[Panetta]
[Isvoranu]
[Pellis]
[Chen]
[Pauly]
[SIGGRAPH 2022]
Unbiased and consistent rendering using biased estimators
Presenter(s):
[Misso]
[Bitterli]
[Georgiev]
[Jarosz]
[SIGGRAPH 2022]
Unbiased inverse volume rendering with differential trackers
Presenter(s):
[Nimier-David]
[Müller]
[Keller]
[Jakob]
[SIGGRAPH 2022]
Unified many-worlds browsing of arbitrary physics-based animations
Presenter(s):
[Goel]
[James]
[SIGGRAPH 2022]
Variational quadratic shape functions for polygons and polyhedra
Presenter(s):
[Bunge]
[Herholz]
[Sorkine-Hornung]
[Botsch]
[Kazhdan]
[SIGGRAPH 2022]
VEMPIC: particle-in-polyhedron fluid simulation for intricate solid boundaries
Presenter(s):
[Tao]
[Batty]
[Ben-Chen]
[Fiume]
[Levin]
[SIGGRAPH 2022]
Volume parametrization quantization for hexahedral meshing
Presenter(s):
[Brückler]
[Bommes]
[Campen]
[SIGGRAPH 2022]
Detecting viewer-perceived intended vector sketch connectivity
Presenter(s):
[Yin]
[Liu]
[Lin]
[Vining]
[Rhodin]
[Sheffer]
[SIGGRAPH 2022]
Neural jacobian fields: learning intrinsic mappings of arbitrary meshes
Presenter(s):
[Aigerman]
[Gupta]
[Kim]
[Chaudhuri]
[Saito]
[Groueix]
[SIGGRAPH 2022]
As-locally-uniform-as-possible reshaping of vector clip-art
Presenter(s):
[Araújo]
[Vining]
[Rosales]
[Gori]
[Sheffer]
[SIGGRAPH 2022]
Sketch2Pose: estimating a 3D character pose from a bitmap sketch
Presenter(s):
[Brodt]
[Bessmeltsev]
[SIGGRAPH 2022]
Volume parametrization quantization for hexahedral meshing
Presenter(s):
[Brückler]
[Bommes]
[Campen]
[SIGGRAPH 2022]
Variational quadratic shape functions for polygons and polyhedra
Presenter(s):
[Bunge]
[Herholz]
[Sorkine-Hornung]
[Botsch]
[Kazhdan]
[SIGGRAPH 2022]
Authentic volumetric avatars from a phone scan
Presenter(s):
[Cao]
[Simon]
[Kim]
[Schwartz]
[Zollhoefer]
[Saito]
[Lombardi]
[Wei]
[Belko]
[Yu]
[Sheikh]
[Saragih]
[SIGGRAPH 2022]
Local anatomically-constrained facial performance retargeting
Presenter(s):
[Chandran]
[Ciccone]
[Gross]
[Bradley]
[SIGGRAPH 2022]
A unified newton barrier method for multibody dynamics
Presenter(s):
[Chen]
[Li]
[Lan]
[Su]
[Yang]
[Jiang]
[SIGGRAPH 2022]
Simulation and optimization of magnetoelastic thin shells
Presenter(s):
[Chen]
[Ni]
[Zhu]
[Wang]
[Chen]
[SIGGRAPH 2022]
Physics informed neural fields for smoke reconstruction with sparse data
Presenter(s):
[Chu]
[Liu]
[Zheng]
[Frankz]
[Seidel]
[Theobalt]
[Zayer]
[SIGGRAPH 2022]
A moving eulerian-lagrangian particle method for thin film and foam simulation
Presenter(s):
[Deng]
[Wang]
[Kong]
[Xiong]
[Xian]
[Zhu]
[SIGGRAPH 2022]
Robust computation of implicit surface networks for piecewise linear functions
Presenter(s):
[Du]
[Zhou]
[Carr]
[Ju]
[SIGGRAPH 2022]
Image features influence reaction time: a learned probabilistic perceptual model for saccade latency
Presenter(s):
[Duinkharjav]
[Chakravarthula]
[Brown]
[Patney]
[Sun]
[SIGGRAPH 2022]
TopoCut: fast and robust planar cutting of arbitrary domains
Presenter(s):
[Fang]
[Desbrun]
[Bao]
[Huang]
[SIGGRAPH 2022]
R2E2: low-latency path tracing of terabyte-scale scenes using thousands of cloud CPUs
Presenter(s):
[Fouladi]
[Shacklett]
[Poms]
[Arora]
[Ozdemir]
[Raghavan]
[Hanrahan]
[Fatahalian]
[SIGGRAPH 2022]
StyleGAN-NADA: CLIP-guided domain adaptation of image generators
Presenter(s):
[Gal]
[Patashnik]
[Maron]
[Bermano]
[Chechik]
[Cohen-Or]
[SIGGRAPH 2022]
Unified many-worlds browsing of arbitrary physics-based animations
Presenter(s):
[Goel]
[James]
[SIGGRAPH 2022]
Character articulation through profile curves
Presenter(s):
[Goes]
[Sheffler]
[Fleischer]
[SIGGRAPH 2022]
Efficiency-aware multiple importance sampling for bidirectional rendering algorithms
Presenter(s):
[Grittmann]
[Yazici]
[Georgiev]
[Slusallek]
[SIGGRAPH 2022]
MatFormer: a generative model for procedural materials
Presenter(s):
[Guerrero]
[Hasan]
[Sunkavalli]
[Mech]
[Boubekeur]
[Mitra]
[SIGGRAPH 2022]
ComplexGen: CAD reconstruction by B-rep chain complex generation
Presenter(s):
[Guo]
[Liu]
[Pan]
[Liu]
[Tong]
[Guo]
[SIGGRAPH 2022]
Disentangling random and cyclic effects in time-lapse sequences
Presenter(s):
[Härkönen]
[Aittala]
[Kynkäänniemi]
[Laine]
[Aila]
[Lehtinen]
[SIGGRAPH 2022]
SPAGHETTI: editing implicit shapes through part aware generation
Presenter(s):
[Hertz]
[Perel]
[Giryes]
[Sorkine-Hornung]
[Cohen-Or]
[SIGGRAPH 2022]
AvatarCLIP: zero-shot text-driven generation and animation of 3D avatars
Presenter(s):
[Hong]
[Zhang]
[Pan]
[Cai]
[Yang]
[Liu]
[SIGGRAPH 2022]
Iterative poisson surface reconstruction (iPSR) for unoriented points
Presenter(s):
[Hou]
[Wang]
[Wang]
[Qin]
[Qian]
[He]
[SIGGRAPH 2022]
A general two-stage initialization for sag-free deformable simulations
Presenter(s):
[Hsu]
[Truong]
[Yuksel]
[Wu]
[SIGGRAPH 2022]
Photo-to-shape material transfer for diverse structures
Presenter(s):
[Hu]
[Su]
[Chen]
[Kaick]
[Huang]
[SIGGRAPH 2022]
Sparse ellipsometry: portable acquisition of polarimetric SVBRDF and shape with unstructured flash photography
Presenter(s):
[Hwang]
[Jeon]
[Munoz]
[Gutierrez]
[Tong]
[Kim]
[SIGGRAPH 2022]
DR.JIT: a just-in-time compiler for differentiable rendering
Presenter(s):
[Jakob]
[Speierer]
[Roussel]
[Vicini]
[SIGGRAPH 2022]
Egocentric scene reconstruction from an omnidirectional video
Presenter(s):
[Jang]
[Meuleman]
[Kang]
[Kim]
[Richardt]
[Kim]
[SIGGRAPH 2022]
Dynamic optimal space partitioning for redirected walking in multi-user environment
Presenter(s):
[Jeon]
[Kwon]
[Hwang]
[Cho]
[Kim]
[Park]
[Lee]
[SIGGRAPH 2022]
Text2Human: text-driven controllable human image generation
Presenter(s):
[Jiang]
[Yang]
[Qiu]
[Wu]
[Loy]
[Liu]
[SIGGRAPH 2022]
NeuralSound: learning-based modal sound synthesis with acoustic transfer
Presenter(s):
[Jin]
[Li]
[Wang]
[Manocha]
[SIGGRAPH 2022]
Accommodative holography: improving accommodation response for perceptually realistic holographic displays
Presenter(s):
[Kim]
[Nam]
[Lee]
[Seo]
[Lee]
[SIGGRAPH 2022]
Modeling and rendering non-euclidean spaces approximated with concatenated polytopes
Presenter(s):
[Kim]
[Doh]
[Han]
[SIGGRAPH 2022]
Computational design of passive grippers
Presenter(s):
[Kodnongbua]
[Good]
[Lou]
[Lipton]
[Schulz]
[SIGGRAPH 2022]
NeuralTailor: reconstructing sewing pattern structures from 3D point clouds of garments
Presenter(s):
[Korosteleva]
[Lee]
[SIGGRAPH 2022]
NeROIC: neural rendering of objects from online image collections
Presenter(s):
[Kuang]
[Olszewski]
[Chai]
[Huang]
[Achlioptas]
[Tulyakov]
[SIGGRAPH 2022]
Face deblurring using dual camera fusion on mobile phones
Presenter(s):
[Lai]
[Shih]
[Chu]
[Wu]
[Tsai]
[Krainin]
[Sun]
[Liang]
[SIGGRAPH 2022]
Affine body dynamics: fast, stable and intersection-free simulation of stiff materials
Presenter(s):
[Lan]
[Kaufman]
[Li]
[Jiang]
[Yang]
[SIGGRAPH 2022]
Penetration-free projective dynamics on the GPU
Presenter(s):
[Lan]
[Ma]
[Yang]
[Zheng]
[Li]
[Jiang]
[SIGGRAPH 2022]
Perception of letter glyph parameters for InfoTypography
Presenter(s):
[Lang]
[Nacenta]
[SIGGRAPH 2022]
Procedural texturing of solid wood with knots
Presenter(s):
[Larsson]
[Ijiri]
[Yoshida]
[Huber]
[Fredriksson]
[Broman]
[Igarashi]
[SIGGRAPH 2022]
High dynamic range and super-resolution from raw image bursts
Presenter(s):
[Lecouat]
[Eboli]
[Ponce]
[Mairal]
[SIGGRAPH 2022]
Loki: a unified multiphysics simulation framework for production
Presenter(s):
[Lesser]
[Stomakhin]
[Daviet]
[Wretborn]
[Edholm]
[Lee]
[Schweickart]
[Zhai]
[Flynn]
[Moffat]
[SIGGRAPH 2022]
Computing sparse integer-constrained cones for conformal parameterizations
Presenter(s):
[Li]
[Fang]
[Ouyang]
[Liu]
[Fu]
[SIGGRAPH 2022]
Efficient kinetic simulation of two-phase flows
Presenter(s):
[Li]
[Ma]
[Liu]
[Desbrun]
[SIGGRAPH 2022]
Energetically consistent inelasticity for optimization time integration
Presenter(s):
[Li]
[Li]
[Jiang]
[SIGGRAPH 2022]
EyeNeRF: a hybrid representation for photorealistic synthesis, animation and relighting of human eyes
Presenter(s):
[Li]
[Meka]
[Mueller]
[Buehler]
[Hilliges]
[Beeler]
[SIGGRAPH 2022]
Free2CAD: parsing freehand drawings into CAD commands
Presenter(s):
[Li]
[Pan]
[Bousseau]
[Mitra]
[SIGGRAPH 2022]
GANimator: neural motion synthesis from a single sequence
Presenter(s):
[Li]
[Aberman]
[Zhang]
[Hanocka]
[Sorkine-Hornung]
[SIGGRAPH 2022]
Interactive augmented reality storytelling guided by scene semantics
Presenter(s):
[Li]
[Li]
[Huang]
[Yu]
[SIGGRAPH 2022]
NIMBLE: a non-rigid hand model with bones and muscles
Presenter(s):
[Li]
[Zhang]
[Qiu]
[Jiang]
[Li]
[Ma]
[Zhang]
[Xu]
[Yu]
[SIGGRAPH 2022]
Generalized resampled importance sampling: foundations of ReSTIR
Presenter(s):
[Lin]
[Kettunen]
[Bitterli]
[Pantaleoni]
[Yuksel]
[Wyman]
[SIGGRAPH 2022]
ASSET: autoregressive semantic scene editing with transformers at high resolutions
Presenter(s):
[Liu]
[Shetty]
[Hinz]
[Fisher]
[Zhang]
[Park]
[Kalogerakis]
[SIGGRAPH 2022]
Automatic quantization for physics-based simulation
Presenter(s):
[Liu]
[Shi]
[Zhang]
[Yang]
[Ma]
[Xu]
[SIGGRAPH 2022]
DeepFaceVideoEditing: sketch-based deep editing of face videos
Presenter(s):
[Liu]
[Chen]
[Lai]
[Li]
[Jiang]
[Fu]
[Gao]
[SIGGRAPH 2022]
Artemis: articulated neural pets with appearance and motion synthesis
Presenter(s):
[Luo]
[Xu]
[Jiang]
[Zhou]
[Qiu]
[Zhang]
[Yang]
[Yu]
[Xu]
[SIGGRAPH 2022]
Fast evaluation of smooth distance constraints on co-dimensional geometry
Presenter(s):
[Madan]
[Levin]
[SIGGRAPH 2022]
stelaCSF: a unified model of contrast sensitivity as the function of spatio-temporal frequency, eccentricity, luminance and area
Presenter(s):
[Mantiuk]
[Ashraf]
[Chapiro]
[SIGGRAPH 2022]
DEF: deep estimation of sharp geometric features in 3D shapes
Presenter(s):
[Matveev]
[Rakhimov]
[Artemov]
[Bobrovskikh]
[Egiazarian]
[Bogomolov]
[Panozzo]
[Zorin]
[Burnaev]
[SIGGRAPH 2022]
DCT-net: domain-calibrated translation for portrait stylization
Presenter(s):
[Men]
[Yao]
[Cui]
[Lian]
[Xie]
[SIGGRAPH 2022]
Moving level-of-detail surfaces
Presenter(s):
[Mercier]
[Lescoat]
[Roussillon]
[Boubekeur]
[Thiery]
[SIGGRAPH 2022]
Adaptive rigidification of elastic solids
Presenter(s):
[Mercier-Aubin]
[Kry]
[Winter]
[Levin]
[SIGGRAPH 2022]
Unbiased and consistent rendering using biased estimators
Presenter(s):
[Misso]
[Bitterli]
[Georgiev]
[Jarosz]
[SIGGRAPH 2022]
Instant neural graphics primitives with a multiresolution hash encoding
Presenter(s):
[Müller]
[Evans]
[Schied]
[Keller]
[SIGGRAPH 2022]
SNeRF: stylized neural implicit representations for 3D scenes
Presenter(s):
[Nguyen-Phuoc]
[Liu]
[Xiao]
[SIGGRAPH 2022]
Unbiased inverse volume rendering with differential trackers
Presenter(s):
[Nimier-David]
[Müller]
[Keller]
[Jakob]
[SIGGRAPH 2022]
Filament based plasma
Presenter(s):
[Padilla]
[Gross]
[Knöppel]
[Chern]
[Pinkall]
[Schröder]
[SIGGRAPH 2022]
Ecoclimates: climate-response modeling of vegetation
Presenter(s):
[Palubicki]
[Makowski]
[Gajda]
[Hädrich]
[Michels]
[Pirk]
[SIGGRAPH 2022]
MatBuilder: mastering sampling uniformity over projections
Presenter(s):
[Paulin]
[Bonneel]
[Coeurjolly]
[Iehl]
[Keller]
[Ostromoukhov]
[SIGGRAPH 2022]
ASE: large-scale reusable adversarial skill embeddings for physically simulated characters
Presenter(s):
[Peng]
[Guo]
[Halper]
[Levine]
[Fidler]
[SIGGRAPH 2022]
Computational pattern making from 3D garment models
Presenter(s):
[Pietroni]
[Falque]
[Liu]
[Vidal-Calleja]
[Sorkine-Hornung]
[SIGGRAPH 2022]
Closed-loop control of direct ink writing via reinforcement learning
Presenter(s):
[Piovarči]
[Foshey]
[Xu]
[Erps]
[Babaei]
[Didyk]
[Rusinkiewicz]
[Matusik]
[Bickel]
[SIGGRAPH 2022]
Alpha wrapping with an offset
Presenter(s):
[Portaneri]
[Rouxel-Labbé]
[Hemmer]
[Cohen-Steiner]
[Alliez]
[SIGGRAPH 2022]
EARS: efficiency-aware russian roulette and splitting
Presenter(s):
[Rath]
[Grittmann]
[Herholz]
[Weier]
[Slusallek]
[SIGGRAPH 2022]
Umbrella meshes: elastic mechanisms for freeform shape deployment
Presenter(s):
[Ren]
[Kusupati]
[Panetta]
[Isvoranu]
[Pellis]
[Chen]
[Pauly]
[SIGGRAPH 2022]
Contact-centric deformation learning
Presenter(s):
[Romero]
[Casas]
[Chiaramonte]
[Otaduy]
[SIGGRAPH 2022]
ADOP: approximate differentiable one-pixel point rendering
Presenter(s):
[Rückert]
[Franke]
[Stamminger]
[SIGGRAPH 2022]
NeAT: neural adaptive tomography
Presenter(s):
[Rückert]
[Wang]
[Li]
[Idoughi]
[Heidrich]
[SIGGRAPH 2022]
Regression-based Monte Carlo integration
Presenter(s):
[Salaün]
[Gruson]
[Hua]
[Hachisuka]
[Singh]
[SIGGRAPH 2022]
Grid-free Monte Carlo for PDEs with spatially varying coefficients
Presenter(s):
[Sawhney]
[Seyb]
[Jarosz]
[Crane]
[SIGGRAPH 2022]
A fast unsmoothed aggregation algebraic multigrid framework for the large-scale simulation of incompressible flow
Presenter(s):
[Shao]
[Huang]
[Michels]
[SIGGRAPH 2022]
Spelunking the deep: guaranteed queries on general neural implicit surfaces via range analysis
Presenter(s):
[Sharp]
[Jacobson]
[SIGGRAPH 2022]
Learning high-DOF reaching-and-grasping via dynamic representation of gripper-object interaction
Presenter(s):
[She]
[Hu]
[Xu]
[Liu]
[Xu]
[Huang]
[SIGGRAPH 2022]
Which cross fields can be quadrangulated?: global parameterization from prescribed holonomy signatures
Presenter(s):
[Shen]
[Zhu]
[Capouellez]
[Panozzo]
[Campen]
[Zorin]
[SIGGRAPH 2022]
Seeing through obstructions with diffractive cloaking
Presenter(s):
[Shi]
[Bahat]
[Baek]
[Fu]
[Amata]
[Li]
[Chakravarthula]
[Heidrich]
[Heide]
[SIGGRAPH 2022]
Estimation of yarn-level simulation models for production fabrics
Presenter(s):
[Sperl]
[Sánchez-Banderas]
[Li]
[Wojtan]
[Otaduy]
[SIGGRAPH 2022]
DeepPhase: periodic autoencoders for learning motion phase manifolds
Presenter(s):
[Starke]
[Mason]
[Komura]
[SIGGRAPH 2022]
SPCBPT: subspace-based probabilistic connections for bidirectional path tracing
Presenter(s):
[Su]
[Li]
[Wang]
[SIGGRAPH 2022]
WallPlan: synthesizing floorplans by learning to generate wall graphs
Presenter(s):
[Sun]
[Wu]
[Liu]
[Min]
[Zhang]
[Zheng]
[SIGGRAPH 2022]
Real-time controllable motion transition for characters
Presenter(s):
[Tang]
[Wang]
[Hu]
[Gong]
[Yi]
[Kou]
[Jin]
[SIGGRAPH 2022]
VEMPIC: particle-in-polyhedron fluid simulation for intricate solid boundaries
Presenter(s):
[Tao]
[Batty]
[Ben-Chen]
[Fiume]
[Levin]
[SIGGRAPH 2022]
Noise-based enhancement for foveated rendering
Presenter(s):
[Tariq]
[Tursun]
[Didyk]
[SIGGRAPH 2022]
EMBER: exact mesh booleans via efficient & robust local arrangements
Presenter(s):
[Trettner]
[Nehring-Wirxel]
[Kobbelt]
[SIGGRAPH 2022]
Differentiable signed distance function rendering
Presenter(s):
[Vicini]
[Speierer]
[Jakob]
[SIGGRAPH 2022]
Blending camera and 77 GHz radar sensing for equitable, robust plethysmography
Presenter(s):
[Vilesov]
[Chari]
[Armouti]
[Harish]
[Kulkarni]
[Deoghare]
[Jalilian]
[Kadambi]
[SIGGRAPH 2022]
CLIPasso: semantically-aware object sketching
Presenter(s):
[Vinker]
[Pajouheshgar]
[Bo]
[Bachmann]
[Bermano]
[Cohen-Or]
[Zamir]
[Shamir]
[SIGGRAPH 2022]
Computational design of high-level interlocking puzzles
Presenter(s):
[Wang]
[Song]
[Bickel]
[SIGGRAPH 2022]
Dual octree graph networks for learning adaptive volumetric shape representations
Presenter(s):
[Wang]
[Tong]
[Liu]
[SIGGRAPH 2022]
Joint neural phase retrieval and compression for energy- and computation-efficient holography on the edge
Presenter(s):
[Wang]
[Chakravarthula]
[Sun]
[Chen]
[SIGGRAPH 2022]
Position-free multiple-bounce computations for smith microfacet BSDFs
Presenter(s):
[Wang]
[Jin]
[Fan]
[Yang]
[Holzschuch]
[Yan]
[SIGGRAPH 2022]
Approximate convex decomposition for 3D meshes with collision-aware concavity and tree search
Presenter(s):
[Wei]
[Liu]
[Ling]
[Su]
[SIGGRAPH 2022]
DeltaConv: anisotropic operators for geometric deep learning on point clouds
Presenter(s):
[Wiersma]
[Nasikun]
[Eisemann]
[Hildebrandt]
[SIGGRAPH 2022]
Facial hair tracking for high fidelity performance capture
Presenter(s):
[Winberg]
[Zoss]
[Chandran]
[Gotardo]
[Bradley]
[SIGGRAPH 2022]
Dark stereo: improving depth perception under low luminance
Presenter(s):
[Wolski]
[Zhong]
[Myszkowski]
[Mantiuk]
[SIGGRAPH 2022]
Physics-based character controllers using conditional VAEs
Presenter(s):
[Won]
[Gopinath]
[Hodgins]
[SIGGRAPH 2022]
Guided bubbles and wet foam for realistic whitewater simulation
Presenter(s):
[Wretborn]
[Flynn]
[Stomakhin]
[SIGGRAPH 2022]
A GPU-based multilevel additive schwarz preconditioner for cloth and deformable body simulation
Presenter(s):
[Wu]
[Wang]
[Wang]
[SIGGRAPH 2022]
Scalable neural indoor scene rendering
Presenter(s):
[Wu]
[Xu]
[Zhu]
[Bao]
[Huang]
[Tompkin]
[Xu]
[SIGGRAPH 2022]
A clebsch method for free-surface vortical flow simulation
Presenter(s):
[Xiong]
[Wang]
[Wang]
[Zhu]
[SIGGRAPH 2022]
Efficient estimation of boundary integrals for path-space differentiable rendering
Presenter(s):
[Yan]
[Lassner]
[Budge]
[Dong]
[Zhao]
[SIGGRAPH 2022]
Aδ: autodiff for discontinuous programs - applied to shaders
Presenter(s):
[Yang]
[Barnes]
[Adams]
[Finkelstein]
[SIGGRAPH 2022]
Implicit neural representation for physics-driven actuated soft bodies
Presenter(s):
[Yang]
[Kim]
[Zoss]
[Gözcü]
[Gross]
[Solenthaler]
[SIGGRAPH 2022]
Learning to use chopsticks in diverse gripping styles
Presenter(s):
[Yang]
[Yin]
[Liu]
[SIGGRAPH 2022]
Neural rendering in a room: amodal 3D understanding and free-viewpoint rendering for the closed scene composed of pre-captured objects
Presenter(s):
[Yang]
[Zhang]
[Li]
[Cui]
[Fanello]
[Bao]
[Zhang]
[SIGGRAPH 2022]
Piecewise-smooth surface fitting onto unstructured 3D sketches
Presenter(s):
[Yu]
[Arora]
[BÆrentzen]
[Singh]
[Bousseau]
[SIGGRAPH 2022]
Developability-driven piecewise approximations for triangular meshes
Presenter(s):
[Zhao]
[Fang]
[Ouyang]
[Zhang]
[Liu]
[Fu]
[SIGGRAPH 2022]
Sort By
Title
Presenter
![A clebsch method for free-surface vortical flow simulation](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Xiong_-A-Clebsch-Method-for-Free-surface-Vortical-Flow-Simulation-150x150.jpg)
A clebsch method for free-surface vortical flow simulation Presenter(s): [Xiong] [Wang] [Wang] [Zhu]
[SIGGRAPH 2022]
![A fast unsmoothed aggregation algebraic multigrid framework for the large-scale simulation of incompressible flow](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Shao_-A-Fast-Unsmoothed-Aggregation-Algebraic-Multigrid-Framework-for-the-Large-scale-Simulation-of-Incompressible-Flow-150x150.jpg)
A fast unsmoothed aggregation algebraic multigrid framework for the large-scale simulation of incompressible flow Presenter(s): [Shao] [Huang] [Michels]
[SIGGRAPH 2022]
![A general two-stage initialization for sag-free deformable simulations](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Hsu_-A-General-Two-stage-Initialization-for-Sag-free-Deformable-Simulations-150x150.jpg)
A general two-stage initialization for sag-free deformable simulations Presenter(s): [Hsu] [Truong] [Yuksel] [Wu]
[SIGGRAPH 2022]
![A GPU-based multilevel additive schwarz preconditioner for cloth and deformable body simulation](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Wu_-A-GPU-based-Multilevel-Additive-Schwarz-Preconditioner-for-Cloth-and-Deformable-Body-Simulation-150x150.jpg)
A GPU-based multilevel additive schwarz preconditioner for cloth and deformable body simulation Presenter(s): [Wu] [Wang] [Wang]
[SIGGRAPH 2022]
![A moving eulerian-lagrangian particle method for thin film and foam simulation](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Deng_-A-Moving-Eulerian-Lagrangian-Particle-Method-for-Thin-Film-and-Foam-Simulation-150x150.jpg)
A moving eulerian-lagrangian particle method for thin film and foam simulation Presenter(s): [Deng] [Wang] [Kong] [Xiong] [Xian] [Zhu]
[SIGGRAPH 2022]
![A unified newton barrier method for multibody dynamics](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Chen_-A-Unified-Newton-Barrier-Method-for-Multibody-Dynamics-150x150.jpg)
A unified newton barrier method for multibody dynamics Presenter(s): [Chen] [Li] [Lan] [Su] [Yang] [Jiang]
[SIGGRAPH 2022]
![Accommodative holography: improving accommodation response for perceptually realistic holographic displays](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Kim_-Accommodative-Holography-Improving-Accommodation-Response-for-Perceptually-Realistic-Holographic-Displays-150x150.jpg)
Accommodative holography: improving accommodation response for perceptually realistic holographic displays Presenter(s): [Kim] [Nam] [Lee] [Seo] [Lee]
[SIGGRAPH 2022]
![Adaptive rigidification of elastic solids](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Mercier-Aubin_-Adaptive-Rigidification-of-Elastic-Solids-150x150.jpg)
Adaptive rigidification of elastic solids Presenter(s): [Mercier-Aubin] [Kry] [Winter] [Levin]
[SIGGRAPH 2022]
![ADOP: approximate differentiable one-pixel point rendering](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Ruckert_-ADOP-Approximate-Differentiable-One-pixel-Point-Rendering-150x150.jpg)
ADOP: approximate differentiable one-pixel point rendering Presenter(s): [Rückert] [Franke] [Stamminger]
[SIGGRAPH 2022]
![Affine body dynamics: fast, stable and intersection-free simulation of stiff materials](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Lan_-Affine-Body-Dynamics-Fast-Stable-and-Intersection-free-Simulation-of-Stiff-Materials-150x150.jpg)
Affine body dynamics: fast, stable and intersection-free simulation of stiff materials Presenter(s): [Lan] [Kaufman] [Li] [Jiang] [Yang]
[SIGGRAPH 2022]
![Alpha wrapping with an offset](https://history.siggraph.org/wp-content/uploads/2023/10/2022-Technical-Paper-Portaneri_Alpha-Wrapping-With-an-Offset-150x150.jpg)
Alpha wrapping with an offset Presenter(s): [Portaneri] [Rouxel-Labbé] [Hemmer] [Cohen-Steiner] [Alliez]
[SIGGRAPH 2022]
![Approximate convex decomposition for 3D meshes with collision-aware concavity and tree search](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Wei_-Approximate-Convex-Decomposition-for-3D-Meshes-With-Collision-aware-Concavity-and-Tree-Search-150x150.jpg)
Approximate convex decomposition for 3D meshes with collision-aware concavity and tree search Presenter(s): [Wei] [Liu] [Ling] [Su]
[SIGGRAPH 2022]
![Artemis: articulated neural pets with appearance and motion synthesis](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Luo_-Artemis-Articulated-Neural-Pets-With-Appearance-and-Motion-Synthesis-150x150.jpg)
Artemis: articulated neural pets with appearance and motion synthesis Presenter(s): [Luo] [Xu] [Jiang] [Zhou] [Qiu] [Zhang] [Yang] [Yu] [Xu]
[SIGGRAPH 2022]
![As-locally-uniform-as-possible reshaping of vector clip-art](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Araujo_-As-locally-uniform-as-possible-Reshaping-of-Vector-Clip-Art-150x150.jpg)
As-locally-uniform-as-possible reshaping of vector clip-art Presenter(s): [Araújo] [Vining] [Rosales] [Gori] [Sheffer]
[SIGGRAPH 2022]
![ASE: large-scale reusable adversarial skill embeddings for physically simulated characters](https://history.siggraph.org/wp-content/uploads/2023/10/2022-Technical-Paper-Peng_ASE-Large-scale-Reusable-Adversarial-Skill-Embeddings-for-Physically-Simulated-Characters-150x150.jpg)
ASE: large-scale reusable adversarial skill embeddings for physically simulated characters Presenter(s): [Peng] [Guo] [Halper] [Levine] [Fidler]
[SIGGRAPH 2022]
![ASSET: autoregressive semantic scene editing with transformers at high resolutions](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Liu_-ASSET-Autoregressive-Semantic-Scene-Editing-With-Transformers-at-High-Resolutions-150x150.jpg)
ASSET: autoregressive semantic scene editing with transformers at high resolutions Presenter(s): [Liu] [Shetty] [Hinz] [Fisher] [Zhang] [Park] [Kalogerakis]
[SIGGRAPH 2022]
![Authentic volumetric avatars from a phone scan](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Cao_-Authentic-Volumetric-Avatars-From-a-Phone-Scan-150x150.jpg)
Authentic volumetric avatars from a phone scan Presenter(s): [Cao] [Simon] [Kim] [Schwartz] [Zollhoefer] [Saito] [Lombardi] [Wei] [Belko] [Yu] [Sheikh] [Saragih]
[SIGGRAPH 2022]
![Automatic quantization for physics-based simulation](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Liu_-Automatic-Quantization-for-Physics-based-Simulation-150x150.jpg)
Automatic quantization for physics-based simulation Presenter(s): [Liu] [Shi] [Zhang] [Yang] [Ma] [Xu]
[SIGGRAPH 2022]
![AvatarCLIP: zero-shot text-driven generation and animation of 3D avatars](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Hong_-AvatarCLIP-Zero-shot-Text-driven-Generation-and-Animation-of-3D-Avatars-150x150.jpg)
AvatarCLIP: zero-shot text-driven generation and animation of 3D avatars Presenter(s): [Hong] [Zhang] [Pan] [Cai] [Yang] [Liu]
[SIGGRAPH 2022]
![Aδ: autodiff for discontinuous programs - applied to shaders](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Yang_-A_120575-Autodiff-for-Discontinuous-Programs-_8212-Applied-to-Shaders-150x150.jpg)
Aδ: autodiff for discontinuous programs - applied to shaders Presenter(s): [Yang] [Barnes] [Adams] [Finkelstein]
[SIGGRAPH 2022]
![Blending camera and 77 GHz radar sensing for equitable, robust plethysmography](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Vilesov_-Blending-Camera-and-77-GHz-Radar-Sensing-for-Equitable-Robust-Plethysmography-150x150.jpg)
Blending camera and 77 GHz radar sensing for equitable, robust plethysmography Presenter(s): [Vilesov] [Chari] [Armouti] [Harish] [Kulkarni] [Deoghare] [Jalilian] [Kadambi]
[SIGGRAPH 2022]
![Character articulation through profile curves](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-de-Goes_-Character-Articulation-Through-Profile-Curves-150x150.jpg)
Character articulation through profile curves Presenter(s): [Goes] [Sheffler] [Fleischer]
[SIGGRAPH 2022]
![CLIPasso: semantically-aware object sketching](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Vinker_-CLIPasso-Semantically-Aware-Object-Sketching-150x150.jpg)
CLIPasso: semantically-aware object sketching Presenter(s): [Vinker] [Pajouheshgar] [Bo] [Bachmann] [Bermano] [Cohen-Or] [Zamir] [Shamir]
[SIGGRAPH 2022]
![Closed-loop control of direct ink writing via reinforcement learning](https://history.siggraph.org/wp-content/uploads/2023/10/2022-Technical-Paper-Foshey_Closed-loop-Control-of-Direct-Ink-Writing-via-Reinforcement-Learning-150x150.jpg)
Closed-loop control of direct ink writing via reinforcement learning Presenter(s): [Piovarči] [Foshey] [Xu] [Erps] [Babaei] [Didyk] [Rusinkiewicz] [Matusik] [Bickel]
[SIGGRAPH 2022]
![ComplexGen: CAD reconstruction by B-rep chain complex generation](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Guo_-ComplexGen-CAD-Reconstruction-by-B-rep-Chain-Complex-Generation-150x150.jpg)
ComplexGen: CAD reconstruction by B-rep chain complex generation Presenter(s): [Guo] [Liu] [Pan] [Liu] [Tong] [Guo]
[SIGGRAPH 2022]
![Computational design of high-level interlocking puzzles](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Chen_-Computational-Design-of-High-level-Interlocking-Puzzles-150x150.jpg)
Computational design of high-level interlocking puzzles Presenter(s): [Wang] [Song] [Bickel]
[SIGGRAPH 2022]
![Computational design of passive grippers](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Kodnongbua_-Computational-Design-of-Passive-Grippers-150x150.jpg)
Computational design of passive grippers Presenter(s): [Kodnongbua] [Good] [Lou] [Lipton] [Schulz]
[SIGGRAPH 2022]
![Computational pattern making from 3D garment models](https://history.siggraph.org/wp-content/uploads/2023/10/2022-Tech-Paper-Pietroni_Computational-pattern-making-from-3D-garment-models-150x150.jpg)
Computational pattern making from 3D garment models Presenter(s): [Pietroni] [Falque] [Liu] [Vidal-Calleja] [Sorkine-Hornung]
[SIGGRAPH 2022]
![Computing sparse integer-constrained cones for conformal parameterizations](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Li_-Computing-Sparse-Integer-constrained-Cones-for-Conformal-Parameterizations-150x150.jpg)
Computing sparse integer-constrained cones for conformal parameterizations Presenter(s): [Li] [Fang] [Ouyang] [Liu] [Fu]
[SIGGRAPH 2022]
![Contact-centric deformation learning](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Romero_-Contact-centric-Deformation-Learning-150x150.jpg)
Contact-centric deformation learning Presenter(s): [Romero] [Casas] [Chiaramonte] [Otaduy]
[SIGGRAPH 2022]
![Dark stereo: improving depth perception under low luminance](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Wolski_-Dark-Stereo-Improving-Depth-Perception-Under-Low-Luminance-150x150.jpg)
Dark stereo: improving depth perception under low luminance Presenter(s): [Wolski] [Zhong] [Myszkowski] [Mantiuk]
[SIGGRAPH 2022]
![DCT-net: domain-calibrated translation for portrait stylization](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Men_-DCT-Net-Domain-calibrated-Translation-for-Portrait-Stylization-150x150.jpg)
DCT-net: domain-calibrated translation for portrait stylization Presenter(s): [Men] [Yao] [Cui] [Lian] [Xie]
[SIGGRAPH 2022]
![DeepFaceVideoEditing: sketch-based deep editing of face videos](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Liu_-DeepVideoFaceEditing-Sketch-based-Deep-Editing-of-Face-Videos-150x150.jpg)
DeepFaceVideoEditing: sketch-based deep editing of face videos Presenter(s): [Liu] [Chen] [Lai] [Li] [Jiang] [Fu] [Gao]
[SIGGRAPH 2022]
![DeepPhase: periodic autoencoders for learning motion phase manifolds](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Starke_-DeepPhase-Periodic-Autoencoders-for-Learning-Motion-Phase-Manifolds-150x150.jpg)
DeepPhase: periodic autoencoders for learning motion phase manifolds Presenter(s): [Starke] [Mason] [Komura]
[SIGGRAPH 2022]
![DEF: deep estimation of sharp geometric features in 3D shapes](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Matveev_-DEF-Deep-Estimation-of-Sharp-Geometric-Features-in-3D-Shapes-150x150.jpg)
DEF: deep estimation of sharp geometric features in 3D shapes Presenter(s): [Matveev] [Rakhimov] [Artemov] [Bobrovskikh] [Egiazarian] [Bogomolov] [Panozzo] [Zorin] [Burnaev]
[SIGGRAPH 2022]
![DeltaConv: anisotropic operators for geometric deep learning on point clouds](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Wiersma_-DeltaConv-Anisotropic-Operators-for-Geometric-Deep-Learning-on-Point-Clouds-150x150.jpg)
DeltaConv: anisotropic operators for geometric deep learning on point clouds Presenter(s): [Wiersma] [Nasikun] [Eisemann] [Hildebrandt]
[SIGGRAPH 2022]
![Detecting viewer-perceived intended vector sketch connectivity](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Yin_-Detecting-Viewer-perceived-Intended-Vector-Sketch-Connectivity-150x150.jpg)
Detecting viewer-perceived intended vector sketch connectivity Presenter(s): [Yin] [Liu] [Lin] [Vining] [Rhodin] [Sheffer]
[SIGGRAPH 2022]
![Developability-driven piecewise approximations for triangular meshes](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Zhao_-Developability-driven-Piecewise-Approximations-for-Triangular-Meshes-150x150.jpg)
Developability-driven piecewise approximations for triangular meshes Presenter(s): [Zhao] [Fang] [Ouyang] [Zhang] [Liu] [Fu]
[SIGGRAPH 2022]
![Differentiable signed distance function rendering](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Vicini_-Differentiable-Signed-Distance-Function-Rendering-150x150.jpg)
Differentiable signed distance function rendering Presenter(s): [Vicini] [Speierer] [Jakob]
[SIGGRAPH 2022]
![Disentangling random and cyclic effects in time-lapse sequences](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Harkonen_-Disentangling-Random-and-Cyclic-Effects-in-Time-lapse-Sequences-150x150.jpg)
Disentangling random and cyclic effects in time-lapse sequences Presenter(s): [Härkönen] [Aittala] [Kynkäänniemi] [Laine] [Aila] [Lehtinen]
[SIGGRAPH 2022]
![DR.JIT: a just-in-time compiler for differentiable rendering](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Jakob_-Dr.Jit-A-Just-in-time-Compiler-for-Differentiable-Rendering-150x150.jpg)
DR.JIT: a just-in-time compiler for differentiable rendering Presenter(s): [Jakob] [Speierer] [Roussel] [Vicini]
[SIGGRAPH 2022]
![Dual octree graph networks for learning adaptive volumetric shape representations](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Wang_-Dual-Octree-Graph-Networks-for-Learning-Adaptive-Volumetric-Shape-Representations-150x150.jpg)
Dual octree graph networks for learning adaptive volumetric shape representations Presenter(s): [Wang] [Tong] [Liu]
[SIGGRAPH 2022]
![Dynamic optimal space partitioning for redirected walking in multi-user environment](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Jeon_-Dynamic-Optimal-Space-Partitioning-for-Redirected-Walking-in-Multi-user-Environment-150x150.jpg)
Dynamic optimal space partitioning for redirected walking in multi-user environment Presenter(s): [Jeon] [Kwon] [Hwang] [Cho] [Kim] [Park] [Lee]
[SIGGRAPH 2022]
![EARS: efficiency-aware russian roulette and splitting](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Rath_-EARS-Efficiency-aware-Russian-Roulette-and-Splitting-150x150.jpg)
EARS: efficiency-aware russian roulette and splitting Presenter(s): [Rath] [Grittmann] [Herholz] [Weier] [Slusallek]
[SIGGRAPH 2022]
![Ecoclimates: climate-response modeling of vegetation](https://history.siggraph.org/wp-content/uploads/2023/10/2022-Technical-Paper-Palubicki_Ecoclimates-Climate-response-Modeling-of-Vegetation-150x150.jpg)
Ecoclimates: climate-response modeling of vegetation Presenter(s): [Palubicki] [Makowski] [Gajda] [Hädrich] [Michels] [Pirk]
[SIGGRAPH 2022]
![Efficiency-aware multiple importance sampling for bidirectional rendering algorithms](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Grittmann_-Efficiency-aware-Multiple-Importance-Sampling-for-Bidirectional-Rendering-Algorithms-150x150.jpg)
Efficiency-aware multiple importance sampling for bidirectional rendering algorithms Presenter(s): [Grittmann] [Yazici] [Georgiev] [Slusallek]
[SIGGRAPH 2022]
![Efficient estimation of boundary integrals for path-space differentiable rendering](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Yan_-Efficient-Estimation-of-Boundary-Integrals-for-Path-space-Differentiable-Rendering-150x150.jpg)
Efficient estimation of boundary integrals for path-space differentiable rendering Presenter(s): [Yan] [Lassner] [Budge] [Dong] [Zhao]
[SIGGRAPH 2022]
![Efficient kinetic simulation of two-phase flows](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Li_-Efficient-Kinetic-Simulation-of-Two-Phase-Flows-150x150.jpg)
Efficient kinetic simulation of two-phase flows Presenter(s): [Li] [Ma] [Liu] [Desbrun]
[SIGGRAPH 2022]
![Egocentric scene reconstruction from an omnidirectional video](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Jang_-Egocentric-Scene-Reconstruction-From-an-Omnidirectional-Video-150x150.jpg)
Egocentric scene reconstruction from an omnidirectional video Presenter(s): [Jang] [Meuleman] [Kang] [Kim] [Richardt] [Kim]
[SIGGRAPH 2022]
![EMBER: exact mesh booleans via efficient & robust local arrangements](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Trettner_-EMBER-Exact-Mesh-Booleans-via-Efficient-and-Robust-Local-Arrangements-150x150.jpg)
EMBER: exact mesh booleans via efficient & robust local arrangements Presenter(s): [Trettner] [Nehring-Wirxel] [Kobbelt]
[SIGGRAPH 2022]
![Energetically consistent inelasticity for optimization time integration](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Li_-Energetically-Consistent-Inelasticity-for-Optimization-Time-Integration-150x150.jpg)
Energetically consistent inelasticity for optimization time integration Presenter(s): [Li] [Li] [Jiang]
[SIGGRAPH 2022]
![Estimation of yarn-level simulation models for production fabrics](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Sperl_-Estimation-of-Yarn-level-Simulation-Models-for-Production-Fabrics-150x150.jpg)
Estimation of yarn-level simulation models for production fabrics Presenter(s): [Sperl] [Sánchez-Banderas] [Li] [Wojtan] [Otaduy]
[SIGGRAPH 2022]
![EyeNeRF: a hybrid representation for photorealistic synthesis, animation and relighting of human eyes](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Li_-EyeNeRF-A-Hybrid-Representation-for-Photorealistic-Synthesis-Animation-and-Relighting-of-Human-Eyes-150x150.jpg)
EyeNeRF: a hybrid representation for photorealistic synthesis, animation and relighting of human eyes Presenter(s): [Li] [Meka] [Mueller] [Buehler] [Hilliges] [Beeler]
[SIGGRAPH 2022]
![Face deblurring using dual camera fusion on mobile phones](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Lai_-Face-Deblurring-Using-Dual-Camera-Fusion-on-Mobile-Phones-150x150.jpg)
Face deblurring using dual camera fusion on mobile phones Presenter(s): [Lai] [Shih] [Chu] [Wu] [Tsai] [Krainin] [Sun] [Liang]
[SIGGRAPH 2022]
![Facial hair tracking for high fidelity performance capture](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Winberg_-Facial-Hair-Tracking-for-High-Fidelity-Performance-Capture-150x150.jpg)
Facial hair tracking for high fidelity performance capture Presenter(s): [Winberg] [Zoss] [Chandran] [Gotardo] [Bradley]
[SIGGRAPH 2022]
![Fast evaluation of smooth distance constraints on co-dimensional geometry](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Madan_-Fast-Evaluation-of-Smooth-Distance-Constraints-on-Co-dimensional-Geometry-150x150.jpg)
Fast evaluation of smooth distance constraints on co-dimensional geometry Presenter(s): [Madan] [Levin]
[SIGGRAPH 2022]
![Filament based plasma](https://history.siggraph.org/wp-content/uploads/2023/10/2022-Technical-Paper-Padilla_Filament-Based-Plasma-150x150.jpg)
Filament based plasma Presenter(s): [Padilla] [Gross] [Knöppel] [Chern] [Pinkall] [Schröder]
[SIGGRAPH 2022]
![Free2CAD: parsing freehand drawings into CAD commands](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Li_-Free2CAD-Parsing-Freehand-Drawings-Into-CAD-Commands-150x150.jpg)
Free2CAD: parsing freehand drawings into CAD commands Presenter(s): [Li] [Pan] [Bousseau] [Mitra]
[SIGGRAPH 2022]
![GANimator: neural motion synthesis from a single sequence](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Li_-GANimator-Neural-Motion-Synthesis-From-a-Single-Sequence-150x150.jpg)
GANimator: neural motion synthesis from a single sequence Presenter(s): [Li] [Aberman] [Zhang] [Hanocka] [Sorkine-Hornung]
[SIGGRAPH 2022]
![Generalized resampled importance sampling: foundations of ReSTIR](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Lin_-Generalized-Resampled-Importance-Sampling-Foundations-of-ReSTIR-150x150.jpg)
Generalized resampled importance sampling: foundations of ReSTIR Presenter(s): [Lin] [Kettunen] [Bitterli] [Pantaleoni] [Yuksel] [Wyman]
[SIGGRAPH 2022]
![Grid-free Monte Carlo for PDEs with spatially varying coefficients](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Sawhney_-Grid-free-Monte-Carlo-for-PDEs-With-Spatially-Varying-Coefficients-150x150.jpg)
Grid-free Monte Carlo for PDEs with spatially varying coefficients Presenter(s): [Sawhney] [Seyb] [Jarosz] [Crane]
[SIGGRAPH 2022]
![Guided bubbles and wet foam for realistic whitewater simulation](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Wretborn_-Guided-Bubbles-and-Wet-Foam-for-Realistic-Whitewater-Simulation-150x150.jpg)
Guided bubbles and wet foam for realistic whitewater simulation Presenter(s): [Wretborn] [Flynn] [Stomakhin]
[SIGGRAPH 2022]
![High dynamic range and super-resolution from raw image bursts](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Lecouat_-High-Dynamic-Range-and-Super-resolution-From-Raw-Image-Bursts-150x150.jpg)
High dynamic range and super-resolution from raw image bursts Presenter(s): [Lecouat] [Eboli] [Ponce] [Mairal]
[SIGGRAPH 2022]
![Image features influence reaction time: a learned probabilistic perceptual model for saccade latency](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Duinkharjav_-Image-Features-Influence-Reaction-Time-A-Learned-Probabilistic-Perceptual-Model-for-Saccade-Latency-150x150.jpg)
Image features influence reaction time: a learned probabilistic perceptual model for saccade latency Presenter(s): [Duinkharjav] [Chakravarthula] [Brown] [Patney] [Sun]
[SIGGRAPH 2022]
![Implicit neural representation for physics-driven actuated soft bodies](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-YANG_-Implicit-Neural-Representation-for-Physics-driven-Actuated-Soft-Bodies-150x150.jpg)
Implicit neural representation for physics-driven actuated soft bodies Presenter(s): [Yang] [Kim] [Zoss] [Gözcü] [Gross] [Solenthaler]
[SIGGRAPH 2022]
![Instant neural graphics primitives with a multiresolution hash encoding](https://history.siggraph.org/wp-content/uploads/2023/10/2022-Technical-Paper-Muller_Instant-Neural-Graphics-Primitives-With-a-Multiresolution-Hash-Encoding-150x150.jpg)
Instant neural graphics primitives with a multiresolution hash encoding Presenter(s): [Müller] [Evans] [Schied] [Keller]
[SIGGRAPH 2022]
![Interactive augmented reality storytelling guided by scene semantics](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Li_-Interactive-Augmented-Reality-Storytelling-Guided-by-Scene-Semantics-150x150.jpg)
Interactive augmented reality storytelling guided by scene semantics Presenter(s): [Li] [Li] [Huang] [Yu]
[SIGGRAPH 2022]
![Iterative poisson surface reconstruction (iPSR) for unoriented points](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Hou_-Iterative-Poisson-Surface-Reconstruction-iPSR-for-Unoriented-Points-150x150.jpg)
Iterative poisson surface reconstruction (iPSR) for unoriented points Presenter(s): [Hou] [Wang] [Wang] [Qin] [Qian] [He]
[SIGGRAPH 2022]
![Joint neural phase retrieval and compression for energy- and computation-efficient holography on the edge](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Wang_-Joint-Neural-Phase-Retrieval-and-Compression-for-Energy-and-Computation-efficient-Holography-on-the-Edge-150x150.jpg)
Joint neural phase retrieval and compression for energy- and computation-efficient holography on the edge Presenter(s): [Wang] [Chakravarthula] [Sun] [Chen]
[SIGGRAPH 2022]
![Learning high-DOF reaching-and-grasping via dynamic representation of gripper-object interaction](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-She_-Learning-High-DOF-Reaching-and-grasping-via-Dynamic-Representation-of-Gripper-object-Interaction-150x150.jpg)
Learning high-DOF reaching-and-grasping via dynamic representation of gripper-object interaction Presenter(s): [She] [Hu] [Xu] [Liu] [Xu] [Huang]
[SIGGRAPH 2022]
![Learning to use chopsticks in diverse gripping styles](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Yang_-Learning-to-Use-Chopsticks-in-Diverse-Gripping-Styles-150x150.jpg)
Learning to use chopsticks in diverse gripping styles Presenter(s): [Yang] [Yin] [Liu]
[SIGGRAPH 2022]
![Local anatomically-constrained facial performance retargeting](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Chandran_-Local-Anatomically-Constrained-Facial-Performance-Retargeting-150x150.jpg)
Local anatomically-constrained facial performance retargeting Presenter(s): [Chandran] [Ciccone] [Gross] [Bradley]
[SIGGRAPH 2022]
![Loki: a unified multiphysics simulation framework for production](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Lesser_-Loki-A-Unified-Multiphysics-Simulation-Framework-for-Production-150x150.jpg)
Loki: a unified multiphysics simulation framework for production Presenter(s): [Lesser] [Stomakhin] [Daviet] [Wretborn] [Edholm] [Lee] [Schweickart] [Zhai] [Flynn] [Moffat]
[SIGGRAPH 2022]
![MatBuilder: mastering sampling uniformity over projections](https://history.siggraph.org/wp-content/uploads/2023/10/2022-Technical-Paper-Paulin_MatBuilder-Mastering-Sampling-Uniformity-Over-Projections-150x150.jpg)
MatBuilder: mastering sampling uniformity over projections Presenter(s): [Paulin] [Bonneel] [Coeurjolly] [Iehl] [Keller] [Ostromoukhov]
[SIGGRAPH 2022]
![MatFormer: a generative model for procedural materials](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Guerrero_-MatFormer-A-Generative-Model-for-Procedural-Materials-150x150.jpg)
MatFormer: a generative model for procedural materials Presenter(s): [Guerrero] [Hasan] [Sunkavalli] [Mech] [Boubekeur] [Mitra]
[SIGGRAPH 2022]
![Modeling and rendering non-euclidean spaces approximated with concatenated polytopes](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Kim_-Modeling-and-Rendering-Non-Euclidean-Spaces-Approximated-With-Concatenated-Polytopes-150x150.jpg)
Modeling and rendering non-euclidean spaces approximated with concatenated polytopes Presenter(s): [Kim] [Doh] [Han]
[SIGGRAPH 2022]
![Moving level-of-detail surfaces](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Mercier_-Moving-Level-of-detail-Surfaces-150x150.jpg)
Moving level-of-detail surfaces Presenter(s): [Mercier] [Lescoat] [Roussillon] [Boubekeur] [Thiery]
[SIGGRAPH 2022]
![NeAT: neural adaptive tomography](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Ruckert_-NeAT-Neural-Adaptive-Tomography-150x150.jpg)
NeAT: neural adaptive tomography Presenter(s): [Rückert] [Wang] [Li] [Idoughi] [Heidrich]
[SIGGRAPH 2022]
![NeROIC: neural rendering of objects from online image collections](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Kuang_-NeROIC-Neural-Rendering-of-Objects-From-Online-Image-Collections-150x150.jpg)
NeROIC: neural rendering of objects from online image collections Presenter(s): [Kuang] [Olszewski] [Chai] [Huang] [Achlioptas] [Tulyakov]
[SIGGRAPH 2022]
![Neural jacobian fields: learning intrinsic mappings of arbitrary meshes](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Aigerman_-Neural-Jacobian-Fields-Learning-Intrinsic-Mappings-of-Arbitrary-Meshes-150x150.jpg)
Neural jacobian fields: learning intrinsic mappings of arbitrary meshes Presenter(s): [Aigerman] [Gupta] [Kim] [Chaudhuri] [Saito] [Groueix]
[SIGGRAPH 2022]
![Neural rendering in a room: amodal 3D understanding and free-viewpoint rendering for the closed scene composed of pre-captured objects](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Yang_-Neural-Rendering-in-a-Room-Amodal-3D-Understanding-and-Free-viewpoint-Rendering-for-the-Closed-Scene-Composed-of-Pre-Captured-Objects-150x150.jpg)
Neural rendering in a room: amodal 3D understanding and free-viewpoint rendering for the closed scene composed of pre-captured objects Presenter(s): [Yang] [Zhang] [Li] [Cui] [Fanello] [Bao] [Zhang]
[SIGGRAPH 2022]
![NeuralSound: learning-based modal sound synthesis with acoustic transfer](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Jin_-NeuralSound-Learning-based-Modal-Sound-Synthesis-With-Acoustic-Transfer-150x150.jpg)
NeuralSound: learning-based modal sound synthesis with acoustic transfer Presenter(s): [Jin] [Li] [Wang] [Manocha]
[SIGGRAPH 2022]
![NeuralTailor: reconstructing sewing pattern structures from 3D point clouds of garments](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Korosteleva_-NeuralTailor-Reconstructing-Sewing-Pattern-Structures-From-3D-Point-Clouds-of-Garments-150x150.jpg)
NeuralTailor: reconstructing sewing pattern structures from 3D point clouds of garments Presenter(s): [Korosteleva] [Lee]
[SIGGRAPH 2022]
![NIMBLE: a non-rigid hand model with bones and muscles](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Li_-NIMBLE-A-Non-rigid-Hand-Model-With-Bones-and-Muscles-150x150.jpg)
NIMBLE: a non-rigid hand model with bones and muscles Presenter(s): [Li] [Zhang] [Qiu] [Jiang] [Li] [Ma] [Zhang] [Xu] [Yu]
[SIGGRAPH 2022]
![Noise-based enhancement for foveated rendering](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Tariq_-Noise-based-Enhancement-for-Foveated-Rendering-150x150.jpg)
Noise-based enhancement for foveated rendering Presenter(s): [Tariq] [Tursun] [Didyk]
[SIGGRAPH 2022]
![Penetration-free projective dynamics on the GPU](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Lan_-Penetration-free-Projective-Dynamics-on-the-GPU-150x150.jpg)
Penetration-free projective dynamics on the GPU Presenter(s): [Lan] [Ma] [Yang] [Zheng] [Li] [Jiang]
[SIGGRAPH 2022]
![Perception of letter glyph parameters for InfoTypography](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Lang_-Perception-of-Letter-Glyph-Parameters-for-InfoTypography-150x150.jpg)
Perception of letter glyph parameters for InfoTypography Presenter(s): [Lang] [Nacenta]
[SIGGRAPH 2022]
![Photo-to-shape material transfer for diverse structures](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Hu_-Photo-to-shape-Material-Transfer-for-Diverse-Structures-150x150.jpg)
Photo-to-shape material transfer for diverse structures Presenter(s): [Hu] [Su] [Chen] [Kaick] [Huang]
[SIGGRAPH 2022]
![Physics informed neural fields for smoke reconstruction with sparse data](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Chu_-Physics-Informed-Neural-Fields-for-Smoke-Reconstruction-With-Sparse-Data-150x150.jpg)
Physics informed neural fields for smoke reconstruction with sparse data Presenter(s): [Chu] [Liu] [Zheng] [Frankz] [Seidel] [Theobalt] [Zayer]
[SIGGRAPH 2022]
![Physics-based character controllers using conditional VAEs](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Won_-Physics-based-Character-Controllers-Using-Conditional-VAEs-150x150.jpg)
Physics-based character controllers using conditional VAEs Presenter(s): [Won] [Gopinath] [Hodgins]
[SIGGRAPH 2022]
![Piecewise-smooth surface fitting onto unstructured 3D sketches](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Yu_-Piecewise-smooth-Surface-Fitting-Onto-Unstructured-3D-Sketches-150x150.jpg)
Piecewise-smooth surface fitting onto unstructured 3D sketches Presenter(s): [Yu] [Arora] [BÆrentzen] [Singh] [Bousseau]
[SIGGRAPH 2022]
![Position-free multiple-bounce computations for smith microfacet BSDFs](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Wang_-Position-free-Multiple-bounce-Computations-for-Smith-Microfacet-BSDFs-150x150.jpg)
Position-free multiple-bounce computations for smith microfacet BSDFs Presenter(s): [Wang] [Jin] [Fan] [Yang] [Holzschuch] [Yan]
[SIGGRAPH 2022]
![Practical level-of-detail aggregation of fur appearance](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Zhu_-Practical-Level-of-detail-Aggregation-of-Fur-Appearance-150x150.jpg)
Practical level-of-detail aggregation of fur appearance Presenter(s): [Zhu] [Zhao] [Wang] [Xu] [Yan]
[SIGGRAPH 2022]
![Procedural texturing of solid wood with knots](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Larsson_-Procedural-Texturing-of-Solid-Wood-With-Knots-150x150.jpg)
Procedural texturing of solid wood with knots Presenter(s): [Larsson] [Ijiri] [Yoshida] [Huber] [Fredriksson] [Broman] [Igarashi]
[SIGGRAPH 2022]
![R2E2: low-latency path tracing of terabyte-scale scenes using thousands of cloud CPUs](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Fouladi_-R2E2-Low-latency-Path-Tracing-of-Terabyte-scale-Scenes-Using-Thousands-of-Cloud-CPUs-150x150.jpg)
R2E2: low-latency path tracing of terabyte-scale scenes using thousands of cloud CPUs Presenter(s): [Fouladi] [Shacklett] [Poms] [Arora] [Ozdemir] [Raghavan] [Hanrahan] [Fatahalian]
[SIGGRAPH 2022]
![Real-time controllable motion transition for characters](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Tang_-Real-time-Controllable-Motion-Transition-for-Characters-150x150.jpg)
Real-time controllable motion transition for characters Presenter(s): [Tang] [Wang] [Hu] [Gong] [Yi] [Kou] [Jin]
[SIGGRAPH 2022]
![Regression-based Monte Carlo integration](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Salaun_-Regression-based-Monte-Carlo-Integration-150x150.jpg)
Regression-based Monte Carlo integration Presenter(s): [Salaün] [Gruson] [Hua] [Hachisuka] [Singh]
[SIGGRAPH 2022]
![Robust computation of implicit surface networks for piecewise linear functions](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Du_-Robust-Computation-of-Implicit-Surface-Networks-for-Piecewise-Linear-Functions-150x150.jpg)
Robust computation of implicit surface networks for piecewise linear functions Presenter(s): [Du] [Zhou] [Carr] [Ju]
[SIGGRAPH 2022]
![Scalable neural indoor scene rendering](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Wu_-Scalable-Neural-Indoor-Scene-Rendering-150x150.jpg)
Scalable neural indoor scene rendering Presenter(s): [Wu] [Xu] [Zhu] [Bao] [Huang] [Tompkin] [Xu]
[SIGGRAPH 2022]
![Seeing through obstructions with diffractive cloaking](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Shi_-Seeing-Through-Obstructions-With-Diffractive-Cloaking-150x150.jpg)
Seeing through obstructions with diffractive cloaking Presenter(s): [Shi] [Bahat] [Baek] [Fu] [Amata] [Li] [Chakravarthula] [Heidrich] [Heide]
[SIGGRAPH 2022]
![Semantically supervised appearance decomposition for virtual staging from a single panorama](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Zhi_-Semantically-Supervised-Appearance-Decomposition-for-Virtual-Staging-From-a-Single-Panorama-150x150.jpg)
Semantically supervised appearance decomposition for virtual staging from a single panorama Presenter(s): [Zhi] [Chen] [Boyadzhiev] [Kang] [Hebert] [Narasimhan]
[SIGGRAPH 2022]
![Simulation and optimization of magnetoelastic thin shells](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Chen_-Simulation-and-Optimization-of-Magnetoelastic-Thin-Shells-150x150.jpg)
Simulation and optimization of magnetoelastic thin shells Presenter(s): [Chen] [Ni] [Zhu] [Wang] [Chen]
[SIGGRAPH 2022]
![Sketch2Pose: estimating a 3D character pose from a bitmap sketch](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Brodt_-Sketch2Pose-Estimating-a-3D-Character-Pose-From-a-Bitmap-Sketch-150x150.jpg)
Sketch2Pose: estimating a 3D character pose from a bitmap sketch Presenter(s): [Brodt] [Bessmeltsev]
[SIGGRAPH 2022]
![SNeRF: stylized neural implicit representations for 3D scenes](https://history.siggraph.org/wp-content/uploads/2023/10/2022-Technical-Paper-Liu_SNeRF-Stylized-Neural-Implicit-Representations-for-3D-Scenes-150x150.jpg)
SNeRF: stylized neural implicit representations for 3D scenes Presenter(s): [Nguyen-Phuoc] [Liu] [Xiao]
[SIGGRAPH 2022]
![SPAGHETTI: editing implicit shapes through part aware generation](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Hertz_-SPAGHETTI-Editing-Implicit-Shapes-Through-Part-Aware-Generation-150x150.jpg)
SPAGHETTI: editing implicit shapes through part aware generation Presenter(s): [Hertz] [Perel] [Giryes] [Sorkine-Hornung] [Cohen-Or]
[SIGGRAPH 2022]
![Sparse ellipsometry: portable acquisition of polarimetric SVBRDF and shape with unstructured flash photography](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Hwang_-Sparse-Ellipsometry-Portable-Acquisition-of-Polarimetric-SVBRDF-and-Shape-With-Unstructured-Flash-Photography-150x150.jpg)
Sparse ellipsometry: portable acquisition of polarimetric SVBRDF and shape with unstructured flash photography Presenter(s): [Hwang] [Jeon] [Munoz] [Gutierrez] [Tong] [Kim]
[SIGGRAPH 2022]
![SPCBPT: subspace-based probabilistic connections for bidirectional path tracing](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Su_-SPCBPT-Subspace-based-Probabilistic-Connections-for-Bidirectional-Path-Tracing-150x150.jpg)
SPCBPT: subspace-based probabilistic connections for bidirectional path tracing Presenter(s): [Su] [Li] [Wang]
[SIGGRAPH 2022]
![Spelunking the deep: guaranteed queries on general neural implicit surfaces via range analysis](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Sharp_-Spelunking-the-Deep-Guaranteed-Queries-on-General-Neural-Implicit-Surfaces-via-Range-Analysis-150x150.jpg)
Spelunking the deep: guaranteed queries on general neural implicit surfaces via range analysis Presenter(s): [Sharp] [Jacobson]
[SIGGRAPH 2022]
![stelaCSF: a unified model of contrast sensitivity as the function of spatio-temporal frequency, eccentricity, luminance and area](https://history.siggraph.org/wp-content/uploads/2023/06/208C7D1-150x150.jpg)
stelaCSF: a unified model of contrast sensitivity as the function of spatio-temporal frequency, eccentricity, luminance and area Presenter(s): [Mantiuk] [Ashraf] [Chapiro]
[SIGGRAPH 2022]
![StyleGAN-NADA: CLIP-guided domain adaptation of image generators](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Gal_-StyleGAN-NADA-CLIP-guided-Domain-Adaptation-of-Image-Generators-150x150.jpg)
StyleGAN-NADA: CLIP-guided domain adaptation of image generators Presenter(s): [Gal] [Patashnik] [Maron] [Bermano] [Chechik] [Cohen-Or]
[SIGGRAPH 2022]
![Text2Human: text-driven controllable human image generation](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Jiang_-Text2Human-Text-driven-Controllable-Human-Image-Generation-150x150.jpg)
Text2Human: text-driven controllable human image generation Presenter(s): [Jiang] [Yang] [Qiu] [Wu] [Loy] [Liu]
[SIGGRAPH 2022]
![TopoCut: fast and robust planar cutting of arbitrary domains](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Fang_-TopoCut-Fast-and-Robust-Planar-Cutting-of-Arbitrary-Domains-150x150.jpg)
TopoCut: fast and robust planar cutting of arbitrary domains Presenter(s): [Fang] [Desbrun] [Bao] [Huang]
[SIGGRAPH 2022]
![Umbrella meshes: elastic mechanisms for freeform shape deployment](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Ren_-Umbrella-Meshes-Elastic-Mechanisms-for-Freeform-Shape-Deployment-150x150.jpg)
Umbrella meshes: elastic mechanisms for freeform shape deployment Presenter(s): [Ren] [Kusupati] [Panetta] [Isvoranu] [Pellis] [Chen] [Pauly]
[SIGGRAPH 2022]
![Unbiased and consistent rendering using biased estimators](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Misso_-Unbiased-and-Consistent-Rendering-Using-Biased-Estimators-150x150.jpg)
Unbiased and consistent rendering using biased estimators Presenter(s): [Misso] [Bitterli] [Georgiev] [Jarosz]
[SIGGRAPH 2022]
![Unbiased inverse volume rendering with differential trackers](https://history.siggraph.org/wp-content/uploads/2023/10/2022-Technical-Paper-Nimier-David_Unbiased-Inverse-Volume-Rendering-With-Differential-Trackers-150x150.jpg)
Unbiased inverse volume rendering with differential trackers Presenter(s): [Nimier-David] [Müller] [Keller] [Jakob]
[SIGGRAPH 2022]
![Unified many-worlds browsing of arbitrary physics-based animations](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Goel_-Unified-Many-worlds-Browsing-of-Arbitrary-Physics-based-Animations-150x150.jpg)
Unified many-worlds browsing of arbitrary physics-based animations Presenter(s): [Goel] [James]
[SIGGRAPH 2022]
![Variational quadratic shape functions for polygons and polyhedra](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Bunge_-Variational-Quadratic-Shape-Functions-for-Polygons-and-Polyhedra-150x150.jpg)
Variational quadratic shape functions for polygons and polyhedra Presenter(s): [Bunge] [Herholz] [Sorkine-Hornung] [Botsch] [Kazhdan]
[SIGGRAPH 2022]
![VEMPIC: particle-in-polyhedron fluid simulation for intricate solid boundaries](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Tao_-VEMPIC-Particle-in-polyhedron-Fluid-Simulation-for-Intricate-Solid-Boundaries-150x150.jpg)
VEMPIC: particle-in-polyhedron fluid simulation for intricate solid boundaries Presenter(s): [Tao] [Batty] [Ben-Chen] [Fiume] [Levin]
[SIGGRAPH 2022]
![Volume parametrization quantization for hexahedral meshing](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Bruckler_-Volume-Parametrization-Quantization-for-Hexahedral-Meshing-150x150.jpg)
Volume parametrization quantization for hexahedral meshing Presenter(s): [Brückler] [Bommes] [Campen]
[SIGGRAPH 2022]
![Detecting viewer-perceived intended vector sketch connectivity](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Yin_-Detecting-Viewer-perceived-Intended-Vector-Sketch-Connectivity-150x150.jpg)
Detecting viewer-perceived intended vector sketch connectivity Presenter(s): [Yin] [Liu] [Lin] [Vining] [Rhodin] [Sheffer]
[SIGGRAPH 2022]
![Neural jacobian fields: learning intrinsic mappings of arbitrary meshes](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Aigerman_-Neural-Jacobian-Fields-Learning-Intrinsic-Mappings-of-Arbitrary-Meshes-150x150.jpg)
Neural jacobian fields: learning intrinsic mappings of arbitrary meshes Presenter(s): [Aigerman] [Gupta] [Kim] [Chaudhuri] [Saito] [Groueix]
[SIGGRAPH 2022]
![As-locally-uniform-as-possible reshaping of vector clip-art](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Araujo_-As-locally-uniform-as-possible-Reshaping-of-Vector-Clip-Art-150x150.jpg)
As-locally-uniform-as-possible reshaping of vector clip-art Presenter(s): [Araújo] [Vining] [Rosales] [Gori] [Sheffer]
[SIGGRAPH 2022]
![Sketch2Pose: estimating a 3D character pose from a bitmap sketch](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Brodt_-Sketch2Pose-Estimating-a-3D-Character-Pose-From-a-Bitmap-Sketch-150x150.jpg)
Sketch2Pose: estimating a 3D character pose from a bitmap sketch Presenter(s): [Brodt] [Bessmeltsev]
[SIGGRAPH 2022]
![Volume parametrization quantization for hexahedral meshing](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Bruckler_-Volume-Parametrization-Quantization-for-Hexahedral-Meshing-150x150.jpg)
Volume parametrization quantization for hexahedral meshing Presenter(s): [Brückler] [Bommes] [Campen]
[SIGGRAPH 2022]
![Variational quadratic shape functions for polygons and polyhedra](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Bunge_-Variational-Quadratic-Shape-Functions-for-Polygons-and-Polyhedra-150x150.jpg)
Variational quadratic shape functions for polygons and polyhedra Presenter(s): [Bunge] [Herholz] [Sorkine-Hornung] [Botsch] [Kazhdan]
[SIGGRAPH 2022]
![Authentic volumetric avatars from a phone scan](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Cao_-Authentic-Volumetric-Avatars-From-a-Phone-Scan-150x150.jpg)
Authentic volumetric avatars from a phone scan Presenter(s): [Cao] [Simon] [Kim] [Schwartz] [Zollhoefer] [Saito] [Lombardi] [Wei] [Belko] [Yu] [Sheikh] [Saragih]
[SIGGRAPH 2022]
![Local anatomically-constrained facial performance retargeting](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Chandran_-Local-Anatomically-Constrained-Facial-Performance-Retargeting-150x150.jpg)
Local anatomically-constrained facial performance retargeting Presenter(s): [Chandran] [Ciccone] [Gross] [Bradley]
[SIGGRAPH 2022]
![A unified newton barrier method for multibody dynamics](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Chen_-A-Unified-Newton-Barrier-Method-for-Multibody-Dynamics-150x150.jpg)
A unified newton barrier method for multibody dynamics Presenter(s): [Chen] [Li] [Lan] [Su] [Yang] [Jiang]
[SIGGRAPH 2022]
![Simulation and optimization of magnetoelastic thin shells](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Chen_-Simulation-and-Optimization-of-Magnetoelastic-Thin-Shells-150x150.jpg)
Simulation and optimization of magnetoelastic thin shells Presenter(s): [Chen] [Ni] [Zhu] [Wang] [Chen]
[SIGGRAPH 2022]
![Physics informed neural fields for smoke reconstruction with sparse data](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Chu_-Physics-Informed-Neural-Fields-for-Smoke-Reconstruction-With-Sparse-Data-150x150.jpg)
Physics informed neural fields for smoke reconstruction with sparse data Presenter(s): [Chu] [Liu] [Zheng] [Frankz] [Seidel] [Theobalt] [Zayer]
[SIGGRAPH 2022]
![A moving eulerian-lagrangian particle method for thin film and foam simulation](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Deng_-A-Moving-Eulerian-Lagrangian-Particle-Method-for-Thin-Film-and-Foam-Simulation-150x150.jpg)
A moving eulerian-lagrangian particle method for thin film and foam simulation Presenter(s): [Deng] [Wang] [Kong] [Xiong] [Xian] [Zhu]
[SIGGRAPH 2022]
![Robust computation of implicit surface networks for piecewise linear functions](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Du_-Robust-Computation-of-Implicit-Surface-Networks-for-Piecewise-Linear-Functions-150x150.jpg)
Robust computation of implicit surface networks for piecewise linear functions Presenter(s): [Du] [Zhou] [Carr] [Ju]
[SIGGRAPH 2022]
![Image features influence reaction time: a learned probabilistic perceptual model for saccade latency](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Duinkharjav_-Image-Features-Influence-Reaction-Time-A-Learned-Probabilistic-Perceptual-Model-for-Saccade-Latency-150x150.jpg)
Image features influence reaction time: a learned probabilistic perceptual model for saccade latency Presenter(s): [Duinkharjav] [Chakravarthula] [Brown] [Patney] [Sun]
[SIGGRAPH 2022]
![TopoCut: fast and robust planar cutting of arbitrary domains](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Fang_-TopoCut-Fast-and-Robust-Planar-Cutting-of-Arbitrary-Domains-150x150.jpg)
TopoCut: fast and robust planar cutting of arbitrary domains Presenter(s): [Fang] [Desbrun] [Bao] [Huang]
[SIGGRAPH 2022]
![R2E2: low-latency path tracing of terabyte-scale scenes using thousands of cloud CPUs](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Fouladi_-R2E2-Low-latency-Path-Tracing-of-Terabyte-scale-Scenes-Using-Thousands-of-Cloud-CPUs-150x150.jpg)
R2E2: low-latency path tracing of terabyte-scale scenes using thousands of cloud CPUs Presenter(s): [Fouladi] [Shacklett] [Poms] [Arora] [Ozdemir] [Raghavan] [Hanrahan] [Fatahalian]
[SIGGRAPH 2022]
![StyleGAN-NADA: CLIP-guided domain adaptation of image generators](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Gal_-StyleGAN-NADA-CLIP-guided-Domain-Adaptation-of-Image-Generators-150x150.jpg)
StyleGAN-NADA: CLIP-guided domain adaptation of image generators Presenter(s): [Gal] [Patashnik] [Maron] [Bermano] [Chechik] [Cohen-Or]
[SIGGRAPH 2022]
![Unified many-worlds browsing of arbitrary physics-based animations](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Goel_-Unified-Many-worlds-Browsing-of-Arbitrary-Physics-based-Animations-150x150.jpg)
Unified many-worlds browsing of arbitrary physics-based animations Presenter(s): [Goel] [James]
[SIGGRAPH 2022]
![Character articulation through profile curves](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-de-Goes_-Character-Articulation-Through-Profile-Curves-150x150.jpg)
Character articulation through profile curves Presenter(s): [Goes] [Sheffler] [Fleischer]
[SIGGRAPH 2022]
![Efficiency-aware multiple importance sampling for bidirectional rendering algorithms](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Grittmann_-Efficiency-aware-Multiple-Importance-Sampling-for-Bidirectional-Rendering-Algorithms-150x150.jpg)
Efficiency-aware multiple importance sampling for bidirectional rendering algorithms Presenter(s): [Grittmann] [Yazici] [Georgiev] [Slusallek]
[SIGGRAPH 2022]
![MatFormer: a generative model for procedural materials](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Guerrero_-MatFormer-A-Generative-Model-for-Procedural-Materials-150x150.jpg)
MatFormer: a generative model for procedural materials Presenter(s): [Guerrero] [Hasan] [Sunkavalli] [Mech] [Boubekeur] [Mitra]
[SIGGRAPH 2022]
![ComplexGen: CAD reconstruction by B-rep chain complex generation](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Guo_-ComplexGen-CAD-Reconstruction-by-B-rep-Chain-Complex-Generation-150x150.jpg)
ComplexGen: CAD reconstruction by B-rep chain complex generation Presenter(s): [Guo] [Liu] [Pan] [Liu] [Tong] [Guo]
[SIGGRAPH 2022]
![Disentangling random and cyclic effects in time-lapse sequences](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Harkonen_-Disentangling-Random-and-Cyclic-Effects-in-Time-lapse-Sequences-150x150.jpg)
Disentangling random and cyclic effects in time-lapse sequences Presenter(s): [Härkönen] [Aittala] [Kynkäänniemi] [Laine] [Aila] [Lehtinen]
[SIGGRAPH 2022]
![SPAGHETTI: editing implicit shapes through part aware generation](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Hertz_-SPAGHETTI-Editing-Implicit-Shapes-Through-Part-Aware-Generation-150x150.jpg)
SPAGHETTI: editing implicit shapes through part aware generation Presenter(s): [Hertz] [Perel] [Giryes] [Sorkine-Hornung] [Cohen-Or]
[SIGGRAPH 2022]
![AvatarCLIP: zero-shot text-driven generation and animation of 3D avatars](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Hong_-AvatarCLIP-Zero-shot-Text-driven-Generation-and-Animation-of-3D-Avatars-150x150.jpg)
AvatarCLIP: zero-shot text-driven generation and animation of 3D avatars Presenter(s): [Hong] [Zhang] [Pan] [Cai] [Yang] [Liu]
[SIGGRAPH 2022]
![Iterative poisson surface reconstruction (iPSR) for unoriented points](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Hou_-Iterative-Poisson-Surface-Reconstruction-iPSR-for-Unoriented-Points-150x150.jpg)
Iterative poisson surface reconstruction (iPSR) for unoriented points Presenter(s): [Hou] [Wang] [Wang] [Qin] [Qian] [He]
[SIGGRAPH 2022]
![A general two-stage initialization for sag-free deformable simulations](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Hsu_-A-General-Two-stage-Initialization-for-Sag-free-Deformable-Simulations-150x150.jpg)
A general two-stage initialization for sag-free deformable simulations Presenter(s): [Hsu] [Truong] [Yuksel] [Wu]
[SIGGRAPH 2022]
![Photo-to-shape material transfer for diverse structures](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Hu_-Photo-to-shape-Material-Transfer-for-Diverse-Structures-150x150.jpg)
Photo-to-shape material transfer for diverse structures Presenter(s): [Hu] [Su] [Chen] [Kaick] [Huang]
[SIGGRAPH 2022]
![Sparse ellipsometry: portable acquisition of polarimetric SVBRDF and shape with unstructured flash photography](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Hwang_-Sparse-Ellipsometry-Portable-Acquisition-of-Polarimetric-SVBRDF-and-Shape-With-Unstructured-Flash-Photography-150x150.jpg)
Sparse ellipsometry: portable acquisition of polarimetric SVBRDF and shape with unstructured flash photography Presenter(s): [Hwang] [Jeon] [Munoz] [Gutierrez] [Tong] [Kim]
[SIGGRAPH 2022]
![DR.JIT: a just-in-time compiler for differentiable rendering](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Jakob_-Dr.Jit-A-Just-in-time-Compiler-for-Differentiable-Rendering-150x150.jpg)
DR.JIT: a just-in-time compiler for differentiable rendering Presenter(s): [Jakob] [Speierer] [Roussel] [Vicini]
[SIGGRAPH 2022]
![Egocentric scene reconstruction from an omnidirectional video](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Jang_-Egocentric-Scene-Reconstruction-From-an-Omnidirectional-Video-150x150.jpg)
Egocentric scene reconstruction from an omnidirectional video Presenter(s): [Jang] [Meuleman] [Kang] [Kim] [Richardt] [Kim]
[SIGGRAPH 2022]
![Dynamic optimal space partitioning for redirected walking in multi-user environment](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Jeon_-Dynamic-Optimal-Space-Partitioning-for-Redirected-Walking-in-Multi-user-Environment-150x150.jpg)
Dynamic optimal space partitioning for redirected walking in multi-user environment Presenter(s): [Jeon] [Kwon] [Hwang] [Cho] [Kim] [Park] [Lee]
[SIGGRAPH 2022]
![Text2Human: text-driven controllable human image generation](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Jiang_-Text2Human-Text-driven-Controllable-Human-Image-Generation-150x150.jpg)
Text2Human: text-driven controllable human image generation Presenter(s): [Jiang] [Yang] [Qiu] [Wu] [Loy] [Liu]
[SIGGRAPH 2022]
![NeuralSound: learning-based modal sound synthesis with acoustic transfer](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Jin_-NeuralSound-Learning-based-Modal-Sound-Synthesis-With-Acoustic-Transfer-150x150.jpg)
NeuralSound: learning-based modal sound synthesis with acoustic transfer Presenter(s): [Jin] [Li] [Wang] [Manocha]
[SIGGRAPH 2022]
![Accommodative holography: improving accommodation response for perceptually realistic holographic displays](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Kim_-Accommodative-Holography-Improving-Accommodation-Response-for-Perceptually-Realistic-Holographic-Displays-150x150.jpg)
Accommodative holography: improving accommodation response for perceptually realistic holographic displays Presenter(s): [Kim] [Nam] [Lee] [Seo] [Lee]
[SIGGRAPH 2022]
![Modeling and rendering non-euclidean spaces approximated with concatenated polytopes](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Kim_-Modeling-and-Rendering-Non-Euclidean-Spaces-Approximated-With-Concatenated-Polytopes-150x150.jpg)
Modeling and rendering non-euclidean spaces approximated with concatenated polytopes Presenter(s): [Kim] [Doh] [Han]
[SIGGRAPH 2022]
![Computational design of passive grippers](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Kodnongbua_-Computational-Design-of-Passive-Grippers-150x150.jpg)
Computational design of passive grippers Presenter(s): [Kodnongbua] [Good] [Lou] [Lipton] [Schulz]
[SIGGRAPH 2022]
![NeuralTailor: reconstructing sewing pattern structures from 3D point clouds of garments](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Korosteleva_-NeuralTailor-Reconstructing-Sewing-Pattern-Structures-From-3D-Point-Clouds-of-Garments-150x150.jpg)
NeuralTailor: reconstructing sewing pattern structures from 3D point clouds of garments Presenter(s): [Korosteleva] [Lee]
[SIGGRAPH 2022]
![NeROIC: neural rendering of objects from online image collections](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Kuang_-NeROIC-Neural-Rendering-of-Objects-From-Online-Image-Collections-150x150.jpg)
NeROIC: neural rendering of objects from online image collections Presenter(s): [Kuang] [Olszewski] [Chai] [Huang] [Achlioptas] [Tulyakov]
[SIGGRAPH 2022]
![Face deblurring using dual camera fusion on mobile phones](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Lai_-Face-Deblurring-Using-Dual-Camera-Fusion-on-Mobile-Phones-150x150.jpg)
Face deblurring using dual camera fusion on mobile phones Presenter(s): [Lai] [Shih] [Chu] [Wu] [Tsai] [Krainin] [Sun] [Liang]
[SIGGRAPH 2022]
![Affine body dynamics: fast, stable and intersection-free simulation of stiff materials](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Lan_-Affine-Body-Dynamics-Fast-Stable-and-Intersection-free-Simulation-of-Stiff-Materials-150x150.jpg)
Affine body dynamics: fast, stable and intersection-free simulation of stiff materials Presenter(s): [Lan] [Kaufman] [Li] [Jiang] [Yang]
[SIGGRAPH 2022]
![Penetration-free projective dynamics on the GPU](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Lan_-Penetration-free-Projective-Dynamics-on-the-GPU-150x150.jpg)
Penetration-free projective dynamics on the GPU Presenter(s): [Lan] [Ma] [Yang] [Zheng] [Li] [Jiang]
[SIGGRAPH 2022]
![Perception of letter glyph parameters for InfoTypography](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Lang_-Perception-of-Letter-Glyph-Parameters-for-InfoTypography-150x150.jpg)
Perception of letter glyph parameters for InfoTypography Presenter(s): [Lang] [Nacenta]
[SIGGRAPH 2022]
![Procedural texturing of solid wood with knots](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Larsson_-Procedural-Texturing-of-Solid-Wood-With-Knots-150x150.jpg)
Procedural texturing of solid wood with knots Presenter(s): [Larsson] [Ijiri] [Yoshida] [Huber] [Fredriksson] [Broman] [Igarashi]
[SIGGRAPH 2022]
![High dynamic range and super-resolution from raw image bursts](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Lecouat_-High-Dynamic-Range-and-Super-resolution-From-Raw-Image-Bursts-150x150.jpg)
High dynamic range and super-resolution from raw image bursts Presenter(s): [Lecouat] [Eboli] [Ponce] [Mairal]
[SIGGRAPH 2022]
![Loki: a unified multiphysics simulation framework for production](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Lesser_-Loki-A-Unified-Multiphysics-Simulation-Framework-for-Production-150x150.jpg)
Loki: a unified multiphysics simulation framework for production Presenter(s): [Lesser] [Stomakhin] [Daviet] [Wretborn] [Edholm] [Lee] [Schweickart] [Zhai] [Flynn] [Moffat]
[SIGGRAPH 2022]
![Computing sparse integer-constrained cones for conformal parameterizations](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Li_-Computing-Sparse-Integer-constrained-Cones-for-Conformal-Parameterizations-150x150.jpg)
Computing sparse integer-constrained cones for conformal parameterizations Presenter(s): [Li] [Fang] [Ouyang] [Liu] [Fu]
[SIGGRAPH 2022]
![Efficient kinetic simulation of two-phase flows](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Li_-Efficient-Kinetic-Simulation-of-Two-Phase-Flows-150x150.jpg)
Efficient kinetic simulation of two-phase flows Presenter(s): [Li] [Ma] [Liu] [Desbrun]
[SIGGRAPH 2022]
![Energetically consistent inelasticity for optimization time integration](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Li_-Energetically-Consistent-Inelasticity-for-Optimization-Time-Integration-150x150.jpg)
Energetically consistent inelasticity for optimization time integration Presenter(s): [Li] [Li] [Jiang]
[SIGGRAPH 2022]
![EyeNeRF: a hybrid representation for photorealistic synthesis, animation and relighting of human eyes](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Li_-EyeNeRF-A-Hybrid-Representation-for-Photorealistic-Synthesis-Animation-and-Relighting-of-Human-Eyes-150x150.jpg)
EyeNeRF: a hybrid representation for photorealistic synthesis, animation and relighting of human eyes Presenter(s): [Li] [Meka] [Mueller] [Buehler] [Hilliges] [Beeler]
[SIGGRAPH 2022]
![Free2CAD: parsing freehand drawings into CAD commands](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Li_-Free2CAD-Parsing-Freehand-Drawings-Into-CAD-Commands-150x150.jpg)
Free2CAD: parsing freehand drawings into CAD commands Presenter(s): [Li] [Pan] [Bousseau] [Mitra]
[SIGGRAPH 2022]
![GANimator: neural motion synthesis from a single sequence](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Li_-GANimator-Neural-Motion-Synthesis-From-a-Single-Sequence-150x150.jpg)
GANimator: neural motion synthesis from a single sequence Presenter(s): [Li] [Aberman] [Zhang] [Hanocka] [Sorkine-Hornung]
[SIGGRAPH 2022]
![Interactive augmented reality storytelling guided by scene semantics](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Li_-Interactive-Augmented-Reality-Storytelling-Guided-by-Scene-Semantics-150x150.jpg)
Interactive augmented reality storytelling guided by scene semantics Presenter(s): [Li] [Li] [Huang] [Yu]
[SIGGRAPH 2022]
![NIMBLE: a non-rigid hand model with bones and muscles](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Li_-NIMBLE-A-Non-rigid-Hand-Model-With-Bones-and-Muscles-150x150.jpg)
NIMBLE: a non-rigid hand model with bones and muscles Presenter(s): [Li] [Zhang] [Qiu] [Jiang] [Li] [Ma] [Zhang] [Xu] [Yu]
[SIGGRAPH 2022]
![Generalized resampled importance sampling: foundations of ReSTIR](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Lin_-Generalized-Resampled-Importance-Sampling-Foundations-of-ReSTIR-150x150.jpg)
Generalized resampled importance sampling: foundations of ReSTIR Presenter(s): [Lin] [Kettunen] [Bitterli] [Pantaleoni] [Yuksel] [Wyman]
[SIGGRAPH 2022]
![ASSET: autoregressive semantic scene editing with transformers at high resolutions](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Liu_-ASSET-Autoregressive-Semantic-Scene-Editing-With-Transformers-at-High-Resolutions-150x150.jpg)
ASSET: autoregressive semantic scene editing with transformers at high resolutions Presenter(s): [Liu] [Shetty] [Hinz] [Fisher] [Zhang] [Park] [Kalogerakis]
[SIGGRAPH 2022]
![Automatic quantization for physics-based simulation](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Liu_-Automatic-Quantization-for-Physics-based-Simulation-150x150.jpg)
Automatic quantization for physics-based simulation Presenter(s): [Liu] [Shi] [Zhang] [Yang] [Ma] [Xu]
[SIGGRAPH 2022]
![DeepFaceVideoEditing: sketch-based deep editing of face videos](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Liu_-DeepVideoFaceEditing-Sketch-based-Deep-Editing-of-Face-Videos-150x150.jpg)
DeepFaceVideoEditing: sketch-based deep editing of face videos Presenter(s): [Liu] [Chen] [Lai] [Li] [Jiang] [Fu] [Gao]
[SIGGRAPH 2022]
![Artemis: articulated neural pets with appearance and motion synthesis](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Luo_-Artemis-Articulated-Neural-Pets-With-Appearance-and-Motion-Synthesis-150x150.jpg)
Artemis: articulated neural pets with appearance and motion synthesis Presenter(s): [Luo] [Xu] [Jiang] [Zhou] [Qiu] [Zhang] [Yang] [Yu] [Xu]
[SIGGRAPH 2022]
![Fast evaluation of smooth distance constraints on co-dimensional geometry](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Madan_-Fast-Evaluation-of-Smooth-Distance-Constraints-on-Co-dimensional-Geometry-150x150.jpg)
Fast evaluation of smooth distance constraints on co-dimensional geometry Presenter(s): [Madan] [Levin]
[SIGGRAPH 2022]
![stelaCSF: a unified model of contrast sensitivity as the function of spatio-temporal frequency, eccentricity, luminance and area](https://history.siggraph.org/wp-content/uploads/2023/06/208C7D1-150x150.jpg)
stelaCSF: a unified model of contrast sensitivity as the function of spatio-temporal frequency, eccentricity, luminance and area Presenter(s): [Mantiuk] [Ashraf] [Chapiro]
[SIGGRAPH 2022]
![DEF: deep estimation of sharp geometric features in 3D shapes](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Matveev_-DEF-Deep-Estimation-of-Sharp-Geometric-Features-in-3D-Shapes-150x150.jpg)
DEF: deep estimation of sharp geometric features in 3D shapes Presenter(s): [Matveev] [Rakhimov] [Artemov] [Bobrovskikh] [Egiazarian] [Bogomolov] [Panozzo] [Zorin] [Burnaev]
[SIGGRAPH 2022]
![DCT-net: domain-calibrated translation for portrait stylization](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Men_-DCT-Net-Domain-calibrated-Translation-for-Portrait-Stylization-150x150.jpg)
DCT-net: domain-calibrated translation for portrait stylization Presenter(s): [Men] [Yao] [Cui] [Lian] [Xie]
[SIGGRAPH 2022]
![Moving level-of-detail surfaces](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Mercier_-Moving-Level-of-detail-Surfaces-150x150.jpg)
Moving level-of-detail surfaces Presenter(s): [Mercier] [Lescoat] [Roussillon] [Boubekeur] [Thiery]
[SIGGRAPH 2022]
![Adaptive rigidification of elastic solids](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Mercier-Aubin_-Adaptive-Rigidification-of-Elastic-Solids-150x150.jpg)
Adaptive rigidification of elastic solids Presenter(s): [Mercier-Aubin] [Kry] [Winter] [Levin]
[SIGGRAPH 2022]
![Unbiased and consistent rendering using biased estimators](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Misso_-Unbiased-and-Consistent-Rendering-Using-Biased-Estimators-150x150.jpg)
Unbiased and consistent rendering using biased estimators Presenter(s): [Misso] [Bitterli] [Georgiev] [Jarosz]
[SIGGRAPH 2022]
![Instant neural graphics primitives with a multiresolution hash encoding](https://history.siggraph.org/wp-content/uploads/2023/10/2022-Technical-Paper-Muller_Instant-Neural-Graphics-Primitives-With-a-Multiresolution-Hash-Encoding-150x150.jpg)
Instant neural graphics primitives with a multiresolution hash encoding Presenter(s): [Müller] [Evans] [Schied] [Keller]
[SIGGRAPH 2022]
![SNeRF: stylized neural implicit representations for 3D scenes](https://history.siggraph.org/wp-content/uploads/2023/10/2022-Technical-Paper-Liu_SNeRF-Stylized-Neural-Implicit-Representations-for-3D-Scenes-150x150.jpg)
SNeRF: stylized neural implicit representations for 3D scenes Presenter(s): [Nguyen-Phuoc] [Liu] [Xiao]
[SIGGRAPH 2022]
![Unbiased inverse volume rendering with differential trackers](https://history.siggraph.org/wp-content/uploads/2023/10/2022-Technical-Paper-Nimier-David_Unbiased-Inverse-Volume-Rendering-With-Differential-Trackers-150x150.jpg)
Unbiased inverse volume rendering with differential trackers Presenter(s): [Nimier-David] [Müller] [Keller] [Jakob]
[SIGGRAPH 2022]
![Filament based plasma](https://history.siggraph.org/wp-content/uploads/2023/10/2022-Technical-Paper-Padilla_Filament-Based-Plasma-150x150.jpg)
Filament based plasma Presenter(s): [Padilla] [Gross] [Knöppel] [Chern] [Pinkall] [Schröder]
[SIGGRAPH 2022]
![Ecoclimates: climate-response modeling of vegetation](https://history.siggraph.org/wp-content/uploads/2023/10/2022-Technical-Paper-Palubicki_Ecoclimates-Climate-response-Modeling-of-Vegetation-150x150.jpg)
Ecoclimates: climate-response modeling of vegetation Presenter(s): [Palubicki] [Makowski] [Gajda] [Hädrich] [Michels] [Pirk]
[SIGGRAPH 2022]
![MatBuilder: mastering sampling uniformity over projections](https://history.siggraph.org/wp-content/uploads/2023/10/2022-Technical-Paper-Paulin_MatBuilder-Mastering-Sampling-Uniformity-Over-Projections-150x150.jpg)
MatBuilder: mastering sampling uniformity over projections Presenter(s): [Paulin] [Bonneel] [Coeurjolly] [Iehl] [Keller] [Ostromoukhov]
[SIGGRAPH 2022]
![ASE: large-scale reusable adversarial skill embeddings for physically simulated characters](https://history.siggraph.org/wp-content/uploads/2023/10/2022-Technical-Paper-Peng_ASE-Large-scale-Reusable-Adversarial-Skill-Embeddings-for-Physically-Simulated-Characters-150x150.jpg)
ASE: large-scale reusable adversarial skill embeddings for physically simulated characters Presenter(s): [Peng] [Guo] [Halper] [Levine] [Fidler]
[SIGGRAPH 2022]
![Computational pattern making from 3D garment models](https://history.siggraph.org/wp-content/uploads/2023/10/2022-Tech-Paper-Pietroni_Computational-pattern-making-from-3D-garment-models-150x150.jpg)
Computational pattern making from 3D garment models Presenter(s): [Pietroni] [Falque] [Liu] [Vidal-Calleja] [Sorkine-Hornung]
[SIGGRAPH 2022]
![Closed-loop control of direct ink writing via reinforcement learning](https://history.siggraph.org/wp-content/uploads/2023/10/2022-Technical-Paper-Foshey_Closed-loop-Control-of-Direct-Ink-Writing-via-Reinforcement-Learning-150x150.jpg)
Closed-loop control of direct ink writing via reinforcement learning Presenter(s): [Piovarči] [Foshey] [Xu] [Erps] [Babaei] [Didyk] [Rusinkiewicz] [Matusik] [Bickel]
[SIGGRAPH 2022]
![Alpha wrapping with an offset](https://history.siggraph.org/wp-content/uploads/2023/10/2022-Technical-Paper-Portaneri_Alpha-Wrapping-With-an-Offset-150x150.jpg)
Alpha wrapping with an offset Presenter(s): [Portaneri] [Rouxel-Labbé] [Hemmer] [Cohen-Steiner] [Alliez]
[SIGGRAPH 2022]
![EARS: efficiency-aware russian roulette and splitting](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Rath_-EARS-Efficiency-aware-Russian-Roulette-and-Splitting-150x150.jpg)
EARS: efficiency-aware russian roulette and splitting Presenter(s): [Rath] [Grittmann] [Herholz] [Weier] [Slusallek]
[SIGGRAPH 2022]
![Umbrella meshes: elastic mechanisms for freeform shape deployment](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Ren_-Umbrella-Meshes-Elastic-Mechanisms-for-Freeform-Shape-Deployment-150x150.jpg)
Umbrella meshes: elastic mechanisms for freeform shape deployment Presenter(s): [Ren] [Kusupati] [Panetta] [Isvoranu] [Pellis] [Chen] [Pauly]
[SIGGRAPH 2022]
![Contact-centric deformation learning](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Romero_-Contact-centric-Deformation-Learning-150x150.jpg)
Contact-centric deformation learning Presenter(s): [Romero] [Casas] [Chiaramonte] [Otaduy]
[SIGGRAPH 2022]
![ADOP: approximate differentiable one-pixel point rendering](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Ruckert_-ADOP-Approximate-Differentiable-One-pixel-Point-Rendering-150x150.jpg)
ADOP: approximate differentiable one-pixel point rendering Presenter(s): [Rückert] [Franke] [Stamminger]
[SIGGRAPH 2022]
![NeAT: neural adaptive tomography](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Ruckert_-NeAT-Neural-Adaptive-Tomography-150x150.jpg)
NeAT: neural adaptive tomography Presenter(s): [Rückert] [Wang] [Li] [Idoughi] [Heidrich]
[SIGGRAPH 2022]
![Regression-based Monte Carlo integration](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Salaun_-Regression-based-Monte-Carlo-Integration-150x150.jpg)
Regression-based Monte Carlo integration Presenter(s): [Salaün] [Gruson] [Hua] [Hachisuka] [Singh]
[SIGGRAPH 2022]
![Grid-free Monte Carlo for PDEs with spatially varying coefficients](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Sawhney_-Grid-free-Monte-Carlo-for-PDEs-With-Spatially-Varying-Coefficients-150x150.jpg)
Grid-free Monte Carlo for PDEs with spatially varying coefficients Presenter(s): [Sawhney] [Seyb] [Jarosz] [Crane]
[SIGGRAPH 2022]
![A fast unsmoothed aggregation algebraic multigrid framework for the large-scale simulation of incompressible flow](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Shao_-A-Fast-Unsmoothed-Aggregation-Algebraic-Multigrid-Framework-for-the-Large-scale-Simulation-of-Incompressible-Flow-150x150.jpg)
A fast unsmoothed aggregation algebraic multigrid framework for the large-scale simulation of incompressible flow Presenter(s): [Shao] [Huang] [Michels]
[SIGGRAPH 2022]
![Spelunking the deep: guaranteed queries on general neural implicit surfaces via range analysis](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Sharp_-Spelunking-the-Deep-Guaranteed-Queries-on-General-Neural-Implicit-Surfaces-via-Range-Analysis-150x150.jpg)
Spelunking the deep: guaranteed queries on general neural implicit surfaces via range analysis Presenter(s): [Sharp] [Jacobson]
[SIGGRAPH 2022]
![Learning high-DOF reaching-and-grasping via dynamic representation of gripper-object interaction](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-She_-Learning-High-DOF-Reaching-and-grasping-via-Dynamic-Representation-of-Gripper-object-Interaction-150x150.jpg)
Learning high-DOF reaching-and-grasping via dynamic representation of gripper-object interaction Presenter(s): [She] [Hu] [Xu] [Liu] [Xu] [Huang]
[SIGGRAPH 2022]
![Which cross fields can be quadrangulated?: global parameterization from prescribed holonomy signatures](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Shen_-Which-Cross-Fields-Can-Be-Quadrangulated_-Global-Parameterization-From-Prescribed-Holonomy-Signatures-150x150.jpg)
Which cross fields can be quadrangulated?: global parameterization from prescribed holonomy signatures Presenter(s): [Shen] [Zhu] [Capouellez] [Panozzo] [Campen] [Zorin]
[SIGGRAPH 2022]
![Seeing through obstructions with diffractive cloaking](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Shi_-Seeing-Through-Obstructions-With-Diffractive-Cloaking-150x150.jpg)
Seeing through obstructions with diffractive cloaking Presenter(s): [Shi] [Bahat] [Baek] [Fu] [Amata] [Li] [Chakravarthula] [Heidrich] [Heide]
[SIGGRAPH 2022]
![Estimation of yarn-level simulation models for production fabrics](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Sperl_-Estimation-of-Yarn-level-Simulation-Models-for-Production-Fabrics-150x150.jpg)
Estimation of yarn-level simulation models for production fabrics Presenter(s): [Sperl] [Sánchez-Banderas] [Li] [Wojtan] [Otaduy]
[SIGGRAPH 2022]
![DeepPhase: periodic autoencoders for learning motion phase manifolds](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Starke_-DeepPhase-Periodic-Autoencoders-for-Learning-Motion-Phase-Manifolds-150x150.jpg)
DeepPhase: periodic autoencoders for learning motion phase manifolds Presenter(s): [Starke] [Mason] [Komura]
[SIGGRAPH 2022]
![SPCBPT: subspace-based probabilistic connections for bidirectional path tracing](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Su_-SPCBPT-Subspace-based-Probabilistic-Connections-for-Bidirectional-Path-Tracing-150x150.jpg)
SPCBPT: subspace-based probabilistic connections for bidirectional path tracing Presenter(s): [Su] [Li] [Wang]
[SIGGRAPH 2022]
![WallPlan: synthesizing floorplans by learning to generate wall graphs](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Sun_-WallPlan-Synthesizing-Floorplans-by-Learning-to-Generate-Wall-Graphs-150x150.jpg)
WallPlan: synthesizing floorplans by learning to generate wall graphs Presenter(s): [Sun] [Wu] [Liu] [Min] [Zhang] [Zheng]
[SIGGRAPH 2022]
![Real-time controllable motion transition for characters](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Tang_-Real-time-Controllable-Motion-Transition-for-Characters-150x150.jpg)
Real-time controllable motion transition for characters Presenter(s): [Tang] [Wang] [Hu] [Gong] [Yi] [Kou] [Jin]
[SIGGRAPH 2022]
![VEMPIC: particle-in-polyhedron fluid simulation for intricate solid boundaries](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Tao_-VEMPIC-Particle-in-polyhedron-Fluid-Simulation-for-Intricate-Solid-Boundaries-150x150.jpg)
VEMPIC: particle-in-polyhedron fluid simulation for intricate solid boundaries Presenter(s): [Tao] [Batty] [Ben-Chen] [Fiume] [Levin]
[SIGGRAPH 2022]
![Noise-based enhancement for foveated rendering](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Tariq_-Noise-based-Enhancement-for-Foveated-Rendering-150x150.jpg)
Noise-based enhancement for foveated rendering Presenter(s): [Tariq] [Tursun] [Didyk]
[SIGGRAPH 2022]
![EMBER: exact mesh booleans via efficient & robust local arrangements](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Trettner_-EMBER-Exact-Mesh-Booleans-via-Efficient-and-Robust-Local-Arrangements-150x150.jpg)
EMBER: exact mesh booleans via efficient & robust local arrangements Presenter(s): [Trettner] [Nehring-Wirxel] [Kobbelt]
[SIGGRAPH 2022]
![Differentiable signed distance function rendering](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Vicini_-Differentiable-Signed-Distance-Function-Rendering-150x150.jpg)
Differentiable signed distance function rendering Presenter(s): [Vicini] [Speierer] [Jakob]
[SIGGRAPH 2022]
![Blending camera and 77 GHz radar sensing for equitable, robust plethysmography](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Vilesov_-Blending-Camera-and-77-GHz-Radar-Sensing-for-Equitable-Robust-Plethysmography-150x150.jpg)
Blending camera and 77 GHz radar sensing for equitable, robust plethysmography Presenter(s): [Vilesov] [Chari] [Armouti] [Harish] [Kulkarni] [Deoghare] [Jalilian] [Kadambi]
[SIGGRAPH 2022]
![CLIPasso: semantically-aware object sketching](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Vinker_-CLIPasso-Semantically-Aware-Object-Sketching-150x150.jpg)
CLIPasso: semantically-aware object sketching Presenter(s): [Vinker] [Pajouheshgar] [Bo] [Bachmann] [Bermano] [Cohen-Or] [Zamir] [Shamir]
[SIGGRAPH 2022]
![Computational design of high-level interlocking puzzles](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Chen_-Computational-Design-of-High-level-Interlocking-Puzzles-150x150.jpg)
Computational design of high-level interlocking puzzles Presenter(s): [Wang] [Song] [Bickel]
[SIGGRAPH 2022]
![Dual octree graph networks for learning adaptive volumetric shape representations](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Wang_-Dual-Octree-Graph-Networks-for-Learning-Adaptive-Volumetric-Shape-Representations-150x150.jpg)
Dual octree graph networks for learning adaptive volumetric shape representations Presenter(s): [Wang] [Tong] [Liu]
[SIGGRAPH 2022]
![Joint neural phase retrieval and compression for energy- and computation-efficient holography on the edge](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Wang_-Joint-Neural-Phase-Retrieval-and-Compression-for-Energy-and-Computation-efficient-Holography-on-the-Edge-150x150.jpg)
Joint neural phase retrieval and compression for energy- and computation-efficient holography on the edge Presenter(s): [Wang] [Chakravarthula] [Sun] [Chen]
[SIGGRAPH 2022]
![Position-free multiple-bounce computations for smith microfacet BSDFs](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Wang_-Position-free-Multiple-bounce-Computations-for-Smith-Microfacet-BSDFs-150x150.jpg)
Position-free multiple-bounce computations for smith microfacet BSDFs Presenter(s): [Wang] [Jin] [Fan] [Yang] [Holzschuch] [Yan]
[SIGGRAPH 2022]
![Approximate convex decomposition for 3D meshes with collision-aware concavity and tree search](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Wei_-Approximate-Convex-Decomposition-for-3D-Meshes-With-Collision-aware-Concavity-and-Tree-Search-150x150.jpg)
Approximate convex decomposition for 3D meshes with collision-aware concavity and tree search Presenter(s): [Wei] [Liu] [Ling] [Su]
[SIGGRAPH 2022]
![DeltaConv: anisotropic operators for geometric deep learning on point clouds](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Wiersma_-DeltaConv-Anisotropic-Operators-for-Geometric-Deep-Learning-on-Point-Clouds-150x150.jpg)
DeltaConv: anisotropic operators for geometric deep learning on point clouds Presenter(s): [Wiersma] [Nasikun] [Eisemann] [Hildebrandt]
[SIGGRAPH 2022]
![Facial hair tracking for high fidelity performance capture](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Winberg_-Facial-Hair-Tracking-for-High-Fidelity-Performance-Capture-150x150.jpg)
Facial hair tracking for high fidelity performance capture Presenter(s): [Winberg] [Zoss] [Chandran] [Gotardo] [Bradley]
[SIGGRAPH 2022]
![Dark stereo: improving depth perception under low luminance](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Wolski_-Dark-Stereo-Improving-Depth-Perception-Under-Low-Luminance-150x150.jpg)
Dark stereo: improving depth perception under low luminance Presenter(s): [Wolski] [Zhong] [Myszkowski] [Mantiuk]
[SIGGRAPH 2022]
![Physics-based character controllers using conditional VAEs](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Won_-Physics-based-Character-Controllers-Using-Conditional-VAEs-150x150.jpg)
Physics-based character controllers using conditional VAEs Presenter(s): [Won] [Gopinath] [Hodgins]
[SIGGRAPH 2022]
![Guided bubbles and wet foam for realistic whitewater simulation](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Wretborn_-Guided-Bubbles-and-Wet-Foam-for-Realistic-Whitewater-Simulation-150x150.jpg)
Guided bubbles and wet foam for realistic whitewater simulation Presenter(s): [Wretborn] [Flynn] [Stomakhin]
[SIGGRAPH 2022]
![A GPU-based multilevel additive schwarz preconditioner for cloth and deformable body simulation](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Wu_-A-GPU-based-Multilevel-Additive-Schwarz-Preconditioner-for-Cloth-and-Deformable-Body-Simulation-150x150.jpg)
A GPU-based multilevel additive schwarz preconditioner for cloth and deformable body simulation Presenter(s): [Wu] [Wang] [Wang]
[SIGGRAPH 2022]
![Scalable neural indoor scene rendering](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Wu_-Scalable-Neural-Indoor-Scene-Rendering-150x150.jpg)
Scalable neural indoor scene rendering Presenter(s): [Wu] [Xu] [Zhu] [Bao] [Huang] [Tompkin] [Xu]
[SIGGRAPH 2022]
![A clebsch method for free-surface vortical flow simulation](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Xiong_-A-Clebsch-Method-for-Free-surface-Vortical-Flow-Simulation-150x150.jpg)
A clebsch method for free-surface vortical flow simulation Presenter(s): [Xiong] [Wang] [Wang] [Zhu]
[SIGGRAPH 2022]
![Efficient estimation of boundary integrals for path-space differentiable rendering](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Yan_-Efficient-Estimation-of-Boundary-Integrals-for-Path-space-Differentiable-Rendering-150x150.jpg)
Efficient estimation of boundary integrals for path-space differentiable rendering Presenter(s): [Yan] [Lassner] [Budge] [Dong] [Zhao]
[SIGGRAPH 2022]
![Aδ: autodiff for discontinuous programs - applied to shaders](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Yang_-A_120575-Autodiff-for-Discontinuous-Programs-_8212-Applied-to-Shaders-150x150.jpg)
Aδ: autodiff for discontinuous programs - applied to shaders Presenter(s): [Yang] [Barnes] [Adams] [Finkelstein]
[SIGGRAPH 2022]
![Implicit neural representation for physics-driven actuated soft bodies](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-YANG_-Implicit-Neural-Representation-for-Physics-driven-Actuated-Soft-Bodies-150x150.jpg)
Implicit neural representation for physics-driven actuated soft bodies Presenter(s): [Yang] [Kim] [Zoss] [Gözcü] [Gross] [Solenthaler]
[SIGGRAPH 2022]
![Learning to use chopsticks in diverse gripping styles](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Yang_-Learning-to-Use-Chopsticks-in-Diverse-Gripping-Styles-150x150.jpg)
Learning to use chopsticks in diverse gripping styles Presenter(s): [Yang] [Yin] [Liu]
[SIGGRAPH 2022]
![Neural rendering in a room: amodal 3D understanding and free-viewpoint rendering for the closed scene composed of pre-captured objects](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Yang_-Neural-Rendering-in-a-Room-Amodal-3D-Understanding-and-Free-viewpoint-Rendering-for-the-Closed-Scene-Composed-of-Pre-Captured-Objects-150x150.jpg)
Neural rendering in a room: amodal 3D understanding and free-viewpoint rendering for the closed scene composed of pre-captured objects Presenter(s): [Yang] [Zhang] [Li] [Cui] [Fanello] [Bao] [Zhang]
[SIGGRAPH 2022]
![Piecewise-smooth surface fitting onto unstructured 3D sketches](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Yu_-Piecewise-smooth-Surface-Fitting-Onto-Unstructured-3D-Sketches-150x150.jpg)
Piecewise-smooth surface fitting onto unstructured 3D sketches Presenter(s): [Yu] [Arora] [BÆrentzen] [Singh] [Bousseau]
[SIGGRAPH 2022]
![Developability-driven piecewise approximations for triangular meshes](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Zhao_-Developability-driven-Piecewise-Approximations-for-Triangular-Meshes-150x150.jpg)
Developability-driven piecewise approximations for triangular meshes Presenter(s): [Zhao] [Fang] [Ouyang] [Zhang] [Liu] [Fu]
[SIGGRAPH 2022]