Two-Stream SR-CNNs for Action Recognition in Videos. - Yifan Wang 011; Jie Song 006; Limin Wang 002; Luc Van Gool; Otmar Hilliges (BMVC, 2016)

A Fully Progressive Approach to Single-Image Super-Resolution. - Yifan Wang 011; Federico Perazzi; Brian McWilliams; Alexander Sorkine-Hornung; Olga Sorkine-Hornung; Christopher Schroers (CVPR Workshops, 2018)

Patch-Based Progressive 3D Point Set Upsampling. - Yifan Wang 011; Shihao Wu; Hui Huang 004; Daniel Cohen-Or; Olga Sorkine-Hornung (CVPR, 2019)

Blind image super-resolution with spatially variant degradations. - Victor Cornillère; Abdelaziz Djelouah; Yifan Wang 011; Olga Sorkine-Hornung; Christopher Schroers (ACM Trans. Graph., 2019)

Differentiable surface splatting for point-based geometry processing. - Yifan Wang 011; Felice Serena; Shihao Wu; Cengiz Öztireli; Olga Sorkine-Hornung (ACM Trans. Graph., 2019)

Neural Cages for Detail-Preserving 3D Deformations. - Yifan Wang 011; Noam Aigerman; Vladimir G. Kim; Siddhartha Chaudhuri; Olga Sorkine-Hornung (CVPR, 2020)

Iso-Points: Optimizing Neural Implicit Surfaces With Hybrid Representations. - Yifan Wang 011; Shihao Wu; Cengiz Öztireli; Olga Sorkine-Hornung (CVPR, 2021)

Detail-driven Geometry Processing Pipeline using Neural Networks. - Yifan Wang 011 (2021)

Input-level Inductive Biases for 3D Reconstruction. - Wang Yifan 011; Carl Doersch; Relja Arandjelovic; João Carreira 001; Andrew Zisserman (CVPR, 2022)

Geometry-Consistent Neural Shape Representation with Implicit Displacement Fields. - Yifan Wang 011; Lukas Rahmann; Olga Sorkine-Hornung (ICLR, 2022)

Generative Neural Articulated Radiance Fields. - Alexander W. Bergman; Petr Kellnhofer; Wang Yifan 011; Eric R. Chan; David B. Lindell; Gordon Wetzstein (NeurIPS, 2022)

Advances in Neural Rendering. - Ayush Tewari; Justus Thies; Ben Mildenhall; Pratul P. Srinivasan; Edgar Tretschk; Yifan Wang 011; Christoph Lassner; Vincent Sitzmann; Ricardo Martin-Brualla; Stephen Lombardi; Tomas Simon; Christian Theobalt; et al. (Comput. Graph. Forum, 2022)

PointAvatar: Deformable Point-Based Head Avatars from Videos. - Yufeng Zheng; Wang Yifan 011; Gordon Wetzstein; Michael J. Black; Otmar Hilliges (CVPR, 2023)

DehazeNeRF: Multiple Image Haze Removal and 3D Shape Reconstruction using Neural Radiance Fields. - Wei-Ting Chen; Wang Yifan 011; Sy-Yen Kuo; Gordon Wetzstein (CoRR, 2023)

Articulated 3D Head Avatar Generation using Text-to-Image Diffusion Models. - Alexander W. Bergman; Wang Yifan 011; Gordon Wetzstein (CoRR, 2023)

Pose-to-Motion: Cross-Domain Motion Retargeting with Pose Prior. - Qingqing Zhao; Peizhuo Li; Wang Yifan 011; Olga Sorkine-Hornung; Gordon Wetzstein (CoRR, 2023)

DehazeNeRF: Multi-image Haze Removal and 3D Shape Reconstruction using Neural Radiance Fields. - Wei-Ting Chen; Wang Yifan 011; Sy-Yen Kuo; Gordon Wetzstein (3DV, 2024)

LumiGAN: Unconditional Generation of Relightable 3D Human Faces. - Boyang Deng; Yifan Wang 011; Gordon Wetzstein (3DV, 2024)

Efficient 3D Articulated Human Generation with Layered Surface Volumes. - Yinghao Xu; Wang Yifan 011; Alexander W. Bergman; Menglei Chai; Bolei Zhou; Gordon Wetzstein (3DV, 2024)

Gaussian Shell Maps for Efficient 3D Human Generation. - Rameen Abdal; Yifan Wang 011; Zifan Shi; Yinghao Xu; Ryan Po; Zhengfei Kuang; Qifeng Chen; Dit-Yan Yeung; Gordon Wetzstein (CVPR, 2024)

TC4D: Trajectory-Conditioned Text-to-4D Generation. - Sherwin Bahmani; Xian Liu; Wang Yifan 011; Ivan Skorokhodov; Victor Rong; Ziwei Liu 002; Xihui Liu; Jeong Joon Park; Sergey Tulyakov; Gordon Wetzstein; Andrea Tagliasacchi; David B. Lindell (ECCV (46), 2024)

GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation. - Yinghao Xu; Zifan Shi; Wang Yifan 011; Hansheng Chen 001; Ceyuan Yang; Sida Peng; Yujun Shen; Gordon Wetzstein (CoRR, 2024)

PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observations. - Yang Zheng; Qingqing Zhao; Guandao Yang; Wang Yifan 011; Donglai Xiang; Florian Dubost; Dmitry Lagun; Thabo Beeler; Federico Tombari; Leonidas J. Guibas; Gordon Wetzstein (CoRR, 2024)

Evolutive Rendering Models. - Fangneng Zhan; Hanxue Liang; Yifan Wang 011; Michael Niemeyer; Michael Oechsle; Adam Kortylewski; Cengiz Öztireli; Gordon Wetzstein; Christian Theobalt (CoRR, 2024)

State of the Art on Diffusion Models for Visual Computing. - Ryan Po; Wang Yifan 011; Vladislav Golyanik; Kfir Aberman; Jonathan T. Barron; Amit Bermano; Eric R. Chan; Tali Dekel; Aleksander Holynski; Angjoo Kanazawa; C. Karen Liu; Lingjie Liu; et al. (Comput. Graph. Forum, 2024)