Publications

Gaussian Shell Maps for Efficient 3D Human Generation 
Rameen Abdal, Wang Yifan, Zifan Shi, Yinghao Xu, Ryan Po, Zhengfei Kuang, Qifeng Chen, Dit-Yan Yeung, Gordon Wetzstein
arXiv 2023
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Gaussian Shell Maps for Efficient 3D Human Generation
Pose-to-Motion: Cross-Domain Motion Retargeting with Pose Prior 
arXiv 2023
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Pose-to-Motion: Cross-Domain Motion Retargeting with Pose Prior
State of the Art on Diffusion Models for Visual Computing 
Ryan Po, Wang Yifan, Vladislav Golyanik, Kfir Aberman, Jonathan T. Barron, Amit H. Bermano, Eric Ryan Chan, Tali Dekel, Aleksander Holynski, Angjoo Kanazawa, C. Karen Liu, Lingjie Liu, Ben Mildenhall, Matthias Nießner, Björn Ommer, Christian Theobalt, Peter Wonka, Gordon Wetzstein
arXiv 2023
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State of the Art on Diffusion Models for Visual Computing
LumiGAN: Unconditional Generation of Relightable 3D Human Faces 
3DV 2023 Davos 👉 spotlight
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LumiGAN: Unconditional Generation of Relightable 3D Human Faces
Efficient 3D Articulated Human Generation with Layered Surface Volumes 
3DV 2023 Davos 👉 spotlight
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Efficient 3D Articulated Human Generation with Layered Surface Volumes
Articulated 3D Head Avatar Generation Using Text-to-Image Diffusion Models 
arXiv 2023
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Articulated 3D Head Avatar Generation Using Text-to-Image Diffusion Models
DehazeNeRF: Multiple Image Haze Removal and 3D Shape Reconstruction using Neural Radiance Fields 
Weiting Chen, Wang Yifan, Sy-Yen Kuo, Gordon Wetzstein
3DV 2023 Davos 👉 spotlight
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DehazeNeRF: Multiple Image Haze Removal and 3D Shape Reconstruction using Neural Radiance Fields
PointAvatar: Deformable Point-based Head Avatars from Videos 
CVPR 2022 Vancouver
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PointAvatar: Deformable Point-based Head Avatars from Videos
Generative Neural Articulated Radiance Fields 
NeurIPS 2022 New Orleans
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Generative Neural Articulated Radiance Fields
Input-level Inductive Biases for 3D Reconstruction 
Wang Yifan, Carl Doersch, Relja Arandjelović, Joao Carreira, Andrew Zisserman
CVPR 2022 New Orleans
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Input-level Inductive Biases for 3D Reconstruction
Advances in Neural Rendering 
Ayush Tewari, Justus Thies, Ben Mildenhall, Pratul Srinivasan, Edgar Tretschk, Wang Yifan, Christoph Lassner, Vincent Sitzmann, Ricardo Martin-Brualla, Stephen Lombardi, Tomas Simon, Christian Theobalt, Matthias Niessner, Jonathan T Barron, Gordon Wetzstein, Michael Zollhoefer, Vladislav Golyanik
EG 2022 Reims
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Advances in Neural Rendering
Geometry-Consistent Neural Shape Representation with Implicit Displacement Fields
ICLR 2022
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Geometry-Consistent Neural Shape Representation with Implicit Displacement Fields
Video Super-Resolution Using An Artificial Neural Network 
US Patent App. 15/886,625 2021
Iso-Points: Optimizing Neural Implicit Surfaces with Hybrid Representations 
CVPR 2021 online
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Iso-Points: Optimizing Neural Implicit Surfaces with Hybrid Representations
Techniques for performing point-based inverse rendering 
US Patent App. 16/586,746 2021
Techniques for upscaling images generated with undetermined downscaling kernels 
US Patent App. 16/542,227 2021
Neural Cages for Detail-Preserving 3D Deformations
CVPR 2020 Seattle 👉 oral presentation
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Neural Cages for Detail-Preserving 3D Deformations
Blind Image Super-Resolution with Spatially Variant Degradations 
SIGGRAPH Asia 2019 Brisbane
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Blind Image Super-Resolution with Spatially Variant Degradations
Differentiable Surface Splatting for Point-based Geometry Processing
SIGGRAPH Asia 2019 Brisbane
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Differentiable Surface Splatting for Point-based Geometry Processing
Patch-base progressive 3D Point Set Upsampling
CVPR 2019 Long Beach
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Patch-base progressive 3D Point Set Upsampling
A Fully Progressive Approach to Single-Image Super-Resolution 
CVPRW 2018 Salt Lake City 👉 co-winner of NTIRE Challenge 2018
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A Fully Progressive Approach to Single-Image Super-Resolution
Two-Stream SR-CNNs for Action Recognition in Videos
Wang Yifan, Jie Song, Limin Wang, Luc Van Gool, Otmar Hilliges
BMVC 2016
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Two-Stream SR-CNNs for Action Recognition in Videos