Chenglei Wu
Most Recent Affiliation(s):
- Max Planck Institute for Informatics
Learning Presentation(s):
![CT2Hair: High-fidelity 3D Hair Modeling Using Computed Tomography](https://history.siggraph.org/wp-content/uploads/2024/03/2023-Tech-Papers-Shen_CT2Hair-High-Fidelity-3D-Hair-Modeling-using-Computed-Tomography-150x150.jpg)
Type: [Technical Papers]
CT2Hair: High-fidelity 3D Hair Modeling Using Computed Tomography Presenter(s): [Shen] [Saito] [Wang] [Maury] [Wu] [Hodgins] [Zheng] [Nam]
[SIGGRAPH 2023]
![Kiss/Crash: Using Diffusion Models to Explore Real Desire in the Shadow of Artificial Representations](https://history.siggraph.org/wp-content/uploads/2024/02/2023-Art-Paper-Cole_KissCrash-Using-Diffusion-Models-to-Explore-Real-Desire-in-the-Shadow-of-Artificial-Representations-150x150.jpg)
Type: [Technical Papers]
Kiss/Crash: Using Diffusion Models to Explore Real Desire in the Shadow of Artificial Representations Presenter(s): [Shen] [Saito] [Wang] [Maury] [Wu] [Hodgins] [Zheng] [Nam]
[SIGGRAPH 2023]
![Driving-signal aware full-body avatars](https://history.siggraph.org/wp-content/uploads/2023/06/2021-Technical-Papers-Wu_Driving-Signal-Aware-Full-Body-Avatars-150x150.jpg)
Type: [Technical Papers]
Driving-signal aware full-body avatars Presenter(s): [Bagautdinov] [Wu] [Simon] [Prada] [Shiratori] [Wei] [Xu] [Sheikh] [Saragih]
[SIGGRAPH 2021]
![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]
Role(s):
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