Eric R. Chan

According to our database, Eric R. Chan authored at least 19 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

State of the Art on Diffusion Models for Visual Computing.

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

Comput. Graph. Forum, May, 2024

Solving Inverse Problems in Protein Space Using Diffusion-Based Priors.

Axel Levy, Eric R. Chan, Sara Fridovich-Keil, Frédéric Poitevin, Ellen D. Zhong, Gordon Wetzstein

CoRR, 2024

Diffusion in the Dark: A Diffusion Model for Low-Light Text Recognition.

Cindy M. Nguyen, Eric R. Chan, Alexander W. Bergman, Gordon Wetzstein

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Image.

Kyle Sargent, Zizhang Li, Tanmay Shah, Charles Herrmann, Hong-Xing Yu, Yunzhi Zhang, Eric Ryan Chan, Dmitry Lagun, Li Fei-Fei, Deqing Sun, Jiajun Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Real-Time Radiance Fields for Single-Image Portrait View Synthesis.

Alex Trevithick, Matthew A. Chan, Michael Stengel, Eric R. Chan, Chao Liu, Zhiding Yu, Sameh Khamis, Manmohan Chandraker, Ravi Ramamoorthi, Koki Nagano

ACM Trans. Graph., August, 2023

Learning Object-Centric Neural Scattering Functions for Free-viewpoint Relighting and Scene Composition.

Hong-Xing Yu, Michelle Guo, Alireza Fathi, Yen-Yu Chang, Eric Ryan Chan, Ruohan Gao, Thomas A. Funkhouser, Jiajun Wu

Trans. Mach. Learn. Res., 2023

ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Real Image.

Kyle Sargent, Zizhang Li, Tanmay Shah, Charles Herrmann, Hong-Xing Yu, Yunzhi Zhang, Eric Ryan Chan, Dmitry Lagun, Li Fei-Fei, Deqing Sun, Jiajun Wu

CoRR, 2023

Single-Shot Implicit Morphable Faces with Consistent Texture Parameterization.

Connor Z. Lin, Koki Nagano, Jan Kautz, Eric R. Chan, Umar Iqbal, Leonidas J. Guibas, Gordon Wetzstein, Sameh Khamis

Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

Generative Novel View Synthesis with 3D-Aware Diffusion Models.

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DiffDreamer: Towards Consistent Unsupervised Single-view Scene Extrapolation with Conditional Diffusion Models.

Shengqu Cai, Eric Ryan Chan, Songyou Peng, Mohamad Shahbazi, Anton Obukhov, Luc Van Gool, Gordon Wetzstein

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

3D Neural Field Generation Using Triplane Diffusion.

J. Ryan Shue, Eric Ryan Chan, Ryan Po, Zachary Ankner, Jiajun Wu, Gordon Wetzstein

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

DiffDreamer: Consistent Single-view Perpetual View Generation with Conditional Diffusion Models.

Shengqu Cai, Eric Ryan Chan, Songyou Peng, Mohamad Shahbazi, Anton Obukhov, Luc Van Gool, Gordon Wetzstein

CoRR, 2022

3D GAN Inversion for Controllable Portrait Image Animation.

Connor Z. Lin, David B. Lindell, Eric R. Chan, Gordon Wetzstein

CoRR, 2022

Generative Neural Articulated Radiance Fields.

Alexander W. Bergman, Petr Kellnhofer, Wang Yifan, Eric R. Chan, David B. Lindell, Gordon Wetzstein

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Efficient Geometry-aware 3D Generative Adversarial Networks.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Acorn: adaptive coordinate networks for neural scene representation.

Julien N. P. Martel, David B. Lindell, Connor Z. Lin, Eric R. Chan, Marco Monteiro, Gordon Wetzstein

ACM Trans. Graph., 2021

Pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis.

Eric R. Chan, Marco Monteiro, Petr Kellnhofer, Jiajun Wu, Gordon Wetzstein

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

MetaSDF: Meta-Learning Signed Distance Functions.

Vincent Sitzmann, Eric R. Chan, Richard Tucker, Noah Snavely, Gordon Wetzstein

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2004

Real-time shadowing techniques.

Tomas Akenine-Möller, Eric R. Chan, Wolfgang Heidrich, Jan Kautz, Mark J. Kilgard, Marc Stamminger

Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2004