Eric R. Chan

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 21

Top Topics

Scene Representation

Top Venues

ACM Trans. Graph.

Publications

Ryan Po, Wang Yifan, Vladislav Golyanik, Kfir Aberman, Jonathan T. Barron, Amit Bermano, Eric R. Chan, Tali Dekel, Aleksander Holynski, Angjoo Kanazawa, C. Karen Liu, Lingjie Liu, Ben Mildenhall, Matthias Nießner, Björn Ommer, Christian Theobalt, Peter Wonka, Gordon Wetzstein
State of the Art on Diffusion Models for Visual Computing. Comput. Graph. Forum 43 (2) (2024)
Cindy M. Nguyen, Eric R. Chan, Alexander W. Bergman, Gordon Wetzstein
Diffusion in the Dark: A Diffusion Model for Low-Light Text Recognition. WACV (2024)
Axel Levy, Eric R. Chan, Sara Fridovich-Keil, Frédéric Poitevin, Ellen D. Zhong, Gordon Wetzstein
Solving Inverse Problems in Protein Space Using Diffusion-Based Priors. CoRR (2024)
Connor Z. Lin, Koki Nagano, Jan Kautz, Eric R. Chan, Umar Iqbal, Leonidas J. Guibas, Gordon Wetzstein, Sameh Khamis
Single-Shot Implicit Morphable Faces with Consistent Texture Parameterization. SIGGRAPH (Conference Paper Track) (2023)
Connor Z. Lin, Koki Nagano, Jan Kautz, Eric R. Chan, Umar Iqbal, Leonidas J. Guibas, Gordon Wetzstein, Sameh Khamis
Single-Shot Implicit Morphable Faces with Consistent Texture Parameterization. CoRR (2023)
Eric R. Chan, Koki Nagano, Matthew A. Chan, Alexander W. Bergman, Jeong Joon Park, Axel Levy, Miika Aittala, Shalini De Mello, Tero Karras, Gordon Wetzstein
Generative Novel View Synthesis with 3D-Aware Diffusion Models. CoRR (2023)
Eric R. Chan, Koki Nagano, Matthew A. Chan, Alexander W. Bergman, Jeong Joon Park, Axel Levy, Miika Aittala, Shalini De Mello, Tero Karras, Gordon Wetzstein
Generative Novel View Synthesis with 3D-Aware Diffusion Models. ICCV (2023)
Cindy M. Nguyen, Eric R. Chan, Alexander W. Bergman, Gordon Wetzstein
Diffusion in the Dark: A Diffusion Model for Low-Light Text Recognition. CoRR (2023)
Alex Trevithick, Matthew A. Chan, Michael Stengel, Eric R. Chan, Chao Liu, Zhiding Yu, Sameh Khamis, Manmohan Chandraker, Ravi Ramamoorthi, Koki Nagano
Real-Time Radiance Fields for Single-Image Portrait View Synthesis. ACM Trans. Graph. 42 (4) (2023)
Alex Trevithick, Matthew A. Chan, Michael Stengel, Eric R. Chan, Chao Liu, Zhiding Yu, Sameh Khamis, Manmohan Chandraker, Ravi Ramamoorthi, Koki Nagano
Real-Time Radiance Fields for Single-Image Portrait View Synthesis. CoRR (2023)
Alexander W. Bergman, Petr Kellnhofer, Yifan Wang, Eric R. Chan, David B. Lindell, Gordon Wetzstein
Generative Neural Articulated Radiance Fields. CoRR (2022)
Connor Z. Lin, David B. Lindell, Eric R. Chan, Gordon Wetzstein
3D GAN Inversion for Controllable Portrait Image Animation. CoRR (2022)
Alexander W. Bergman, Petr Kellnhofer, Yifan Wang, Eric R. Chan, David B. Lindell, Gordon Wetzstein
Generative Neural Articulated Radiance Fields. NeurIPS (2022)
Eric R. Chan, Connor Z. Lin, Matthew A. Chan, Koki Nagano, Boxiao Pan, Shalini De Mello, Orazio Gallo, Leonidas J. Guibas, Jonathan Tremblay, Sameh Khamis, Tero Karras, Gordon Wetzstein
Efficient Geometry-aware 3D Generative Adversarial Networks. CVPR (2022)
Eric R. Chan, Connor Z. Lin, Matthew A. Chan, Koki Nagano, Boxiao Pan, Shalini De Mello, Orazio Gallo, Leonidas J. Guibas, Jonathan Tremblay, Sameh Khamis, Tero Karras, Gordon Wetzstein
Efficient Geometry-aware 3D Generative Adversarial Networks. CoRR (2021)
Eric R. Chan, Marco Monteiro, Petr Kellnhofer, Jiajun Wu, Gordon Wetzstein
Pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis. CVPR (2021)
Julien N. P. Martel, David B. Lindell, Connor Z. Lin, Eric R. Chan, Marco Monteiro, Gordon Wetzstein
Acorn: adaptive coordinate networks for neural scene representation. ACM Trans. Graph. 40 (4) (2021)
Julien N. P. Martel, David B. Lindell, Connor Z. Lin, Eric R. Chan, Marco Monteiro, Gordon Wetzstein
ACORN: Adaptive Coordinate Networks for Neural Scene Representation. CoRR (2021)
Vincent Sitzmann, Eric R. Chan, Richard Tucker, Noah Snavely, Gordon Wetzstein
MetaSDF: Meta-learning Signed Distance Functions. CoRR (2020)
Eric R. Chan, Marco Monteiro, Petr Kellnhofer, Jiajun Wu, Gordon Wetzstein
pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis. CoRR (2020)
Vincent Sitzmann, Eric R. Chan, Richard Tucker, Noah Snavely, Gordon Wetzstein
MetaSDF: Meta-Learning Signed Distance Functions. NeurIPS (2020)