Kun Zhou
Most Recent Affiliation(s):
- Zhejiang University, State Key Lab of CAD&CG, State Key Lab of CAD&CG
Other / Past Affiliation(s):
- Microsoft Research Asia
Location:
- Hangzhou, China
Learning Category: Jury Member:
Learning Category: Presentation(s):
![Adaptive Local Basis Functions for Shape Completion](https://history.siggraph.org/wp-content/uploads/2024/02/2023-Tech-Papers-Ying_Adaptive-Local-Basis-Functions-for-Shape-Completion-02-150x150.jpg)
Type: [Technical Papers]
Adaptive Local Basis Functions for Shape Completion Presenter(s): [Ying] [Shao] [Wang] [Yang] [Zhou]
[SIGGRAPH 2023]
![Fast GPU-based Two-way Continuous Collision Handling](https://history.siggraph.org/wp-content/uploads/2024/02/2023_Technical-Paper_Wang_Fast-GPU-based-Two-way-Continuous-Collision-Handling-150x150.jpg)
Type: [Technical Papers]
Fast GPU-based Two-way Continuous Collision Handling Presenter(s): [Wang] [Chen] [Li] [Liu] [Wang] [Zhou]
[SIGGRAPH 2023]
![Free-form scanning of non-planar appearance with neural trace photography](https://history.siggraph.org/wp-content/uploads/2023/06/2021-Technical-Papers-Ma_Free-form-Scanning-of-Non-planar-Appearance-with-Neural-Trace-Photography-150x150.jpg)
Type: [Technical Papers]
Free-form scanning of non-planar appearance with neural trace photography Presenter(s): [Ma] [Kang] [Zhu] [Wu] [Zhou]
[SIGGRAPH 2021]
![High-order differentiable autoencoder for nonlinear model reduction](https://history.siggraph.org/wp-content/uploads/2023/06/2021-Technical-Papers-Shen_High-order-Differentiable-Autoencoder-for-Nonlinear-Model-Reduction-150x150.jpg)
Type: [Technical Papers]
High-order differentiable autoencoder for nonlinear model reduction Presenter(s): [Shen] [Yang] [Shao] [Wang] [Jiang] [Lan] [Zhou]
[SIGGRAPH 2021]
![NeuroSkinning: automatic skin binding for production characters with deep graph networks](https://history.siggraph.org/wp-content/uploads/2023/01/2019-Technical-Papers-Liu_NeuroSkinning_-Automatic-Skin-Binding-for-Production-Characters-with-Deep-Graph-Networks-150x150.jpg)
Type: [Technical Papers]
NeuroSkinning: automatic skin binding for production characters with deep graph networks Presenter(s): [Liu] [Zheng] [Tang] [Yuan] [Fan] [Zhou]
[SIGGRAPH 2019]
![Efficient reflectance capture using an autoencoder](https://history.siggraph.org/wp-content/uploads/2023/02/2018-Technical-Papers-Kang_Efficient-Reflectance-Capture-Using-an-Autoencoder-150x150.jpg)
Type: [Technical Papers]
Efficient reflectance capture using an autoencoder Presenter(s): [Kang] [Chen] [Wang] [Zhou] [Wu]
Entry No.: [127]
[SIGGRAPH 2018]
![Learning Optimal Lighting Patterns for Efficient SVBRDF Acquisition](https://history.siggraph.org/wp-content/uploads/2022/01/2018-47-Kang_Learning-Optimal-Lighting-Patterns-01-150x150.jpg)
Type: [Posters]
Learning Optimal Lighting Patterns for Efficient SVBRDF Acquisition Presenter(s): [Kang] [Chen] [Wang] [Zhou] [Wu]
Entry No.: [47]
[SIGGRAPH 2018]
![A data-driven approach to four-view image-based hair modeling](https://history.siggraph.org/wp-content/uploads/2023/02/2017-Technical-Papers-Zhang_A-Data-driven-Approach-to-Four-view-Image-based-Hair-Modeling-1-150x150.jpg)
Type: [Technical Papers]
A data-driven approach to four-view image-based hair modeling Presenter(s): [Zhang] [Chai] [Wu] [Yang] [Zhou]
[SIGGRAPH 2017]
![An anatomically-constrained local deformation model for monocular face capture](https://history.siggraph.org/wp-content/uploads/2023/02/2016-Technical-Papers-Wu_An-Anatomically-Constrained-Local-Deformation-Model-for-Monocular-Face-Capture-150x150.jpg)
Type: [Technical Papers]
An anatomically-constrained local deformation model for monocular face capture Presenter(s): [Wu] [Shao] [Wu] [Weng] [Zhou]
[SIGGRAPH 2016]
![Crowd-driven mid-scale layout design](https://history.siggraph.org/wp-content/uploads/2023/02/2016-Technical-Papers-Feng_Crowd-driven-Mid-scale-Layout-Design-150x150.jpg)
Type: [Technical Papers]
Crowd-driven mid-scale layout design Presenter(s): [Feng] [Yu] [Yeung] [Yin] [Zhou]
[SIGGRAPH 2016]
![Real-time facial animation with image-based dynamic avatars](https://history.siggraph.org/wp-content/uploads/2023/02/2016-Technical-Papers-Cao_Real-time-Facial-Animation-with-Image-based-Dynamic-Avatars-150x150.jpg)
Type: [Technical Papers]
Real-time facial animation with image-based dynamic avatars Presenter(s): [Cao] [Wu] [Weng] [Shao] [Zhou]
[SIGGRAPH 2016]
![Computational hydrographic printing](https://history.siggraph.org/wp-content/uploads/2023/04/2015-Technical-Papers-Zhang_Computational-Hydrographic-Printing-150x150.jpg)
Type: [Technical Papers]
Computational hydrographic printing Presenter(s): [Zhang] [Yin] [Zheng] [Zhou]
[SIGGRAPH 2015]
![Real-time high-fidelity facial performance capture](https://history.siggraph.org/wp-content/uploads/2022/07/2015-SIGGRAPH-Image-Not-Available-150x150.jpg)
Type: [Technical Papers]
Real-time high-fidelity facial performance capture Presenter(s): [Cao] [Bradley] [Zhou] [Beeler]
[SIGGRAPH 2015]
![A reduced model for interactive hairs](https://history.siggraph.org/wp-content/uploads/2023/02/2014-Technical-Papers-Chai_A-Reduced-Model-for-Interactive-Hairs-150x150.jpg)
Type: [Technical Papers]
A reduced model for interactive hairs Presenter(s): [Chai] [Zheng] [Zhou]
[SIGGRAPH 2014]
![An asymptotic numerical method for inverse elastic shape design](https://history.siggraph.org/wp-content/uploads/2023/02/2014-Technical-Papers-Chen_An-Asymptotic-Numerical-Method-for-Inverse-Elastic-Shape-Design-150x150.jpg)
Type: [Technical Papers]
An asymptotic numerical method for inverse elastic shape design Presenter(s): [Chen] [Zheng] [Xu] [Zhou]
[SIGGRAPH 2014]
![Displaced dynamic expression regression for real-time facial tracking and animation](https://history.siggraph.org/wp-content/uploads/2023/02/2014-Technical-Papers-Cao_Displaced-Dynamic-Expression-Regression-for-Real-time-Facial-Tracking-and-Animation-150x150.jpg)
Type: [Technical Papers]
Displaced dynamic expression regression for real-time facial tracking and animation Presenter(s): [Cao] [Hou] [Zhou]
[SIGGRAPH 2014]
![3D shape regression for real-time facial animation](https://history.siggraph.org/wp-content/uploads/2023/03/2013-Technical-Papers-Cao_3D-Shape-Regression-for-Real-time-Facial-Animation-150x150.jpg)
Type: [Technical Papers]
3D shape regression for real-time facial animation Presenter(s): [Cao] [Weng] [Lin] [Zhou]
[SIGGRAPH 2013]
![Dynamic hair manipulation in images and videos](https://history.siggraph.org/wp-content/uploads/2023/03/2013-Technical-Papers-Chai_Dynamic-Hair-Manipulation-in-Images-and-Videos-150x150.jpg)
Type: [Technical Papers]
Dynamic hair manipulation in images and videos Presenter(s): [Chai] [Wang] [Weng] [Jin] [Zhou]
[SIGGRAPH 2013]
![Interpreting concept sketches](https://history.siggraph.org/wp-content/uploads/2023/03/2013-Technical-Papers-Shao_Interpreting-Concept-Sketches-150x150.jpg)
Type: [Technical Papers]
Interpreting concept sketches Presenter(s): [Shao] [Li] [Zhou] [Xu] [Guo] [Mitra]
[SIGGRAPH 2013]
![Line segment sampling with blue-noise properties](https://history.siggraph.org/wp-content/uploads/2023/03/2013-Technical-Papers-Sun_Line-Segment-Sampling-with-Blue-Noise-Properties-150x150.jpg)
Type: [Technical Papers]
Line segment sampling with blue-noise properties Presenter(s): [Sun] [Zhou] [Guo] [Xie] [Pan] [Wang]
[SIGGRAPH 2013]
![Interactive images: cuboid proxies for smart image manipulation](https://history.siggraph.org/wp-content/uploads/2023/03/2012-Technical-Papers-Zheng_Interactive-Images_-Cuboid-Proxies-for-Smart-Image-Manipulation-150x150.jpg)
Type: [Technical Papers]
Interactive images: cuboid proxies for smart image manipulation Presenter(s): [Zheng] [Chen] [Cheng] [Zhou] [Hu] [Mitra]
[SIGGRAPH 2012]
![Single-view hair modeling for portrait manipulation](https://history.siggraph.org/wp-content/uploads/2023/03/2012-Technical-Papers-Chai_Single-View-Hair-Modeling-for-Portrait-Manipulation-150x150.jpg)
Type: [Technical Papers]
Single-view hair modeling for portrait manipulation Presenter(s): [Chai] [Wang] [Weng] [Yu] [Guo] [Zhou]
[SIGGRAPH 2012]
![Interactive hair rendering under environment lighting](https://history.siggraph.org/wp-content/uploads/2023/03/2010-Technical-Papers-Ren_Interactive-Hair-Rendering-Under-Environment-Lighting-150x150.jpg)
Type: [Technical Papers]
Interactive hair rendering under environment lighting Presenter(s): [Ren] [Zhou] [Li] [Hua] [Guo]
[SIGGRAPH 2010]
![Line space gathering for single scattering in large scenes](https://history.siggraph.org/wp-content/uploads/2023/03/2010-Technical-Papers-Sun_Line-Space-Gathering-for-Single-Scattering-in-Large-Scenes-150x150.jpg)
Type: [Technical Papers]
Line space gathering for single scattering in large scenes Presenter(s): [Sun] [Zhou] [Lin] [Guo]
[SIGGRAPH 2010]
![Micropolygon ray tracing with defocus and motion blur](https://history.siggraph.org/wp-content/uploads/2023/03/2010-Technical-Papers-Hou_Micropolygon-Ray-Tracing-With-Defocus-and-Motion-Blur-150x150.jpg)
Type: [Technical Papers]
Micropolygon ray tracing with defocus and motion blur Presenter(s): [Hou] [Qin] [Li] [Guo] [Zhou]
[SIGGRAPH 2010]
![Vector solid textures](https://history.siggraph.org/wp-content/uploads/2023/03/2010-Technical-Papers-Wang_Vector-Solid-Textures-150x150.jpg)
Type: [Technical Papers]
Vector solid textures Presenter(s): [Wang] [Zhou] [Yu] [Guo]
[SIGGRAPH 2010]
![An efficient GPU-based approach for interactive global illumination](https://history.siggraph.org/wp-content/uploads/2023/03/2009-Technical-Papers-Wang_An-Efficient-GPU-based-Approach-for-Interactive-Global-Illumination-150x150.jpg)
Type: [Technical Papers]
An efficient GPU-based approach for interactive global illumination Presenter(s): [Wang] [Zhou] [Pan] [Bao]
[SIGGRAPH 2009]
![Example-based hair geometry synthesis](https://history.siggraph.org/wp-content/uploads/2023/03/2009-Technical-Papers-Wang_Example-Based-Hair-Geometry-Synthesis-150x150.jpg)
Type: [Technical Papers]
Example-based hair geometry synthesis Presenter(s): [Wang] [Yu] [Zhou] [Guo]
[SIGGRAPH 2009]
![Joint-aware manipulation of deformable models](https://history.siggraph.org/wp-content/uploads/2023/03/2009-Technical-Papers-Xu_Joint-aware-Manipulation-of-Deformable-Models-150x150.jpg)
Type: [Technical Papers]
Joint-aware manipulation of deformable models Presenter(s): [Xu] [Wang] [Yin] [Zhou] [Panne] [Chen] [Guo]
[SIGGRAPH 2009]
![BSGP: bulk-synchronous GPU programming](https://history.siggraph.org/wp-content/uploads/2023/03/2008-Technical-Papers-Hou_SGP-Bulk-Synchronous-GPU-Programming-150x150.jpg)
Type: [Technical Papers]
BSGP: bulk-synchronous GPU programming Presenter(s): [Hou] [Zhou] [Guo]
[SIGGRAPH 2008]
![Example-based dynamic skinning in real time](https://history.siggraph.org/wp-content/uploads/2023/03/2008-Technical-Papers-Shi_Example-based-Dynamic-Skinning-in-Real-Time-150x150.jpg)
Type: [Technical Papers]
Example-based dynamic skinning in real time Presenter(s): [Shi] [Zhou] [Tong] [Desbrun] [Bao] [Guo]
[SIGGRAPH 2008]
![Interactive relighting of dynamic refractive objects](https://history.siggraph.org/wp-content/uploads/2023/03/2008-Technical-Papers-Sun_Interactive-Relighting-of-Dynamic-Refractive-Objects-150x150.jpg)
Type: [Technical Papers]
Interactive relighting of dynamic refractive objects Presenter(s): [Sun] [Zhou] [Stollnitz] [Shi] [Guo]
[SIGGRAPH 2008]
![Inverse texture synthesis](https://history.siggraph.org/wp-content/uploads/2023/03/2008-Technical-Papers-Wei_Inverse-Texture-Synthesis-150x150.jpg)
Type: [Technical Papers]
Inverse texture synthesis Presenter(s): [Wei] [Han] [Zhou] [Bao] [Guo] [Shum]
[SIGGRAPH 2008]
![Real-time smoke rendering using compensated ray marching](https://history.siggraph.org/wp-content/uploads/2023/03/2008-Technical-Papers-Zhou_Real-Time-Smoke-Rendering-Using-Compensated-Ray-Marching-150x150.jpg)
Type: [Technical Papers]
Real-time smoke rendering using compensated ray marching Presenter(s): [Zhou] [Ren] [Lin] [Bao] [Guo] [Shum]
[SIGGRAPH 2008]
![Direct manipulation of subdivision surfaces on GPUs](https://history.siggraph.org/wp-content/uploads/2023/05/2007-Technical-Papers-Zhou_Direct-Manipulation-of-Subdivision-Surfaces-on-GPUs-150x150.jpg)
Type: [Technical Papers]
Direct manipulation of subdivision surfaces on GPUs Presenter(s): [Zhou] [Huang] [Xu] [Guo] [Shum]
[SIGGRAPH 2007]
![Gradient domain editing of deforming mesh sequences](https://history.siggraph.org/wp-content/uploads/2023/05/2007-Technical-Papers-Xu_Gradient-Domain-Editing-of-Deforming-Mesh-Sequences-150x150.jpg)
Type: [Technical Papers]
Gradient domain editing of deforming mesh sequences Presenter(s): [Xu] [Zhou] [Yu] [Tan] [Peng] [Guo]
[SIGGRAPH 2007]
![High dynamic range image hallucination](https://history.siggraph.org/wp-content/uploads/2024/05/2007-Talks-Wang_High-Dynamic-Range-Image-Hallucination-150x150.jpg)
Type: [Talks (Sketches)]
High dynamic range image hallucination Presenter(s): [Wang] [Wei] [Zhou] [Guo] [Shum]
[SIGGRAPH 2007]
![Interactive relighting with dynamic BRDFs](https://history.siggraph.org/wp-content/uploads/2023/05/2007-Technical-Papers-Sun_Interactive-Relighting-with-Dynamic-BRDFs-150x150.jpg)
Type: [Technical Papers]
Interactive relighting with dynamic BRDFs Presenter(s): [Sun] [Zhou] [Chen] [Lin] [Shi] [Guo]
[SIGGRAPH 2007]
![Mesh Parameterization: Theory and Practice](https://history.siggraph.org/wp-content/uploads/2021/06/2007-Course-Cover-02-Mesh-Parameterization-Theory-and-Practice-150x150.jpg)
Type: [Courses]
Mesh Parameterization: Theory and Practice Organizer(s): [Sheffer] [Hormann] [Levy]
Presenter(s): [Desbrun] [Zhou]
Entry No.: [02]
[SIGGRAPH 2007]
![Mesh puppetry: cascading optimization of mesh deformation with inverse kinematics](https://history.siggraph.org/wp-content/uploads/2023/05/2007-Technical-Papers-Shi_Mesh-Puppetry-Cascading-Optimization-of-Mesh-Deformation-with-Inverse-Kinematics-150x150.jpg)
Type: [Technical Papers]
Mesh puppetry: cascading optimization of mesh deformation with inverse kinematics Presenter(s): [Shi] [Zhou] [Tong] [Desbrun] [Bao] [Guo]
[SIGGRAPH 2007]
![Mesh quilting for geometric texture synthesis](https://history.siggraph.org/wp-content/uploads/2023/04/2006-Technical-Papers-Zhou_Mesh-Quilting-For-Geometric-Texture-Synthesis-150x150.jpg)
Type: [Technical Papers]
Mesh quilting for geometric texture synthesis Presenter(s): [Zhou] [Huang] [Wang] [Tong] [Desbrun] [Guo] [Shum]
[SIGGRAPH 2006]
![Real-time soft shadows in dynamic scenes using spherical harmonic exponentiation](https://history.siggraph.org/wp-content/uploads/2023/04/2006-Technical-Papers-Ren_Real-time-Soft-Shadows-in-Dynamic-Scenes-using-Spherical-Harmonic-Exponentiation-150x150.jpg)
Type: [Technical Papers]
Real-time soft shadows in dynamic scenes using spherical harmonic exponentiation Presenter(s): [Ren] [Wang] [Snyder] [Zhou] [Liu] [Sun] [Sloan] [Bao] [Peng] [Guo]
[SIGGRAPH 2006]
![Subspace gradient domain mesh deformation](https://history.siggraph.org/wp-content/uploads/2023/04/2006-Technical-Papers-Huang_Subspace-Gradient-Domain-Mesh-Deformation-150x150.jpg)
Type: [Technical Papers]
Subspace gradient domain mesh deformation Presenter(s): [Huang] [Shi] [Liu] [Zhou] [Wei] [Teng] [Bao] [Guo] [Shum]
[SIGGRAPH 2006]
![Large mesh deformation using the volumetric graph Laplacian](https://history.siggraph.org/wp-content/uploads/2023/04/2005-Technical-Papers-Zhou_Large-Mesh-Deformation-Using-the-Volumetric-Graph-Laplacian-150x150.jpg)
Type: [Technical Papers]
Large mesh deformation using the volumetric graph Laplacian Presenter(s): [Zhou] [Huang] [Snyder] [Liu] [Bao] [Guo] [Shum]
[SIGGRAPH 2005]
![Precomputed shadow fields for dynamic scenes](https://history.siggraph.org/wp-content/uploads/2023/04/2005-Technical-Papers-Zhou_Precomputed-Shadow-Fields-for-Dynamic-Scenes-150x150.jpg)
Type: [Technical Papers]
Precomputed shadow fields for dynamic scenes Presenter(s): [Zhou] [Hu] [Lin] [Guo] [Shum]
[SIGGRAPH 2005]
![TextureMontage](https://history.siggraph.org/wp-content/uploads/2023/04/2005-Technical-Papers-Zhou_TextureMontage-150x150.jpg)
Type: [Technical Papers]
TextureMontage Presenter(s): [Zhou] [Wang] [Tong] [Desbrun] [Guo] [Shum]
[SIGGRAPH 2005]
Role(s):
- Course Presenter
- Poster Presenter
- Talk (Sketch) Presenter
- Technical Paper Presenter
- Technical Papers Jury Member
If you find errors or omissions on your profile page, please contact us: historyarchives@siggraph.org
Did you know you can send us a photo of yourself and a bio and we will post it? Make sure the photo is at least 1000 x 1000 and send it to the email above along with the bio and we will add it to your page.