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ORCIDEric R. Chan
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2020 – today
- 2024
[j4]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): i-iii (2024)- [c11]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:
ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Image. CVPR 2024: 9420-9429 - [c10]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: 4134-4145 - [i16]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 abs/2406.04239 (2024) - 2023
- [j3]Hong-Xing Yu, Michelle Guo, Alireza Fathi, Yen-Yu Chang, Eric Ryan Chan, Ruohan Gao, Thomas A. Funkhouser, Jiajun Wu:
Learning Object-Centric Neural Scattering Functions for Free-viewpoint Relighting and Scene Composition. Trans. Mach. Learn. Res. 2023 (2023) - [j2]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): 135:1-135:15 (2023) - [c9]J. Ryan Shue, Eric Ryan Chan, Ryan Po, Zachary Ankner, Jiajun Wu, Gordon Wetzstein:
3D Neural Field Generation Using Triplane Diffusion. CVPR 2023: 20875-20886 - [c8]Shengqu Cai, Eric Ryan Chan, Songyou Peng, Mohamad Shahbazi, Anton Obukhov, Luc Van Gool, Gordon Wetzstein:
DiffDreamer: Towards Consistent Unsupervised Single-view Scene Extrapolation with Conditional Diffusion Models. ICCV 2023: 2139-2150 - [c7]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: 4194-4206 - [c6]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: 83:1-83:12 - [i15]Cindy M. Nguyen, Eric R. Chan, Alexander W. Bergman, Gordon Wetzstein:
Diffusion in the Dark: A Diffusion Model for Low-Light Text Recognition. CoRR abs/2303.04291 (2023) - [i14]Hong-Xing Yu, Michelle Guo, Alireza Fathi, Yen-Yu Chang, Eric Ryan Chan, Ruohan Gao, Thomas A. Funkhouser, Jiajun Wu:
Learning Object-Centric Neural Scattering Functions for Free-viewpoint Relighting and Scene Composition. CoRR abs/2303.06138 (2023) - [i13]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 abs/2304.02602 (2023) - [i12]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 abs/2305.02310 (2023) - [i11]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 abs/2305.03043 (2023) - [i10]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:
State of the Art on Diffusion Models for Visual Computing. CoRR abs/2310.07204 (2023) - [i9]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:
ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Real Image. CoRR abs/2310.17994 (2023) - 2022
- [c5]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: 16102-16112 - [c4]Alexander W. Bergman, Petr Kellnhofer, Wang Yifan, Eric R. Chan, David B. Lindell, Gordon Wetzstein:
Generative Neural Articulated Radiance Fields. NeurIPS 2022 - [i8]Connor Z. Lin, David B. Lindell, Eric R. Chan, Gordon Wetzstein:
3D GAN Inversion for Controllable Portrait Image Animation. CoRR abs/2203.13441 (2022) - [i7]Alexander W. Bergman, Petr Kellnhofer, Wang Yifan, Eric R. Chan, David B. Lindell, Gordon Wetzstein:
Generative Neural Articulated Radiance Fields. CoRR abs/2206.14314 (2022) - [i6]Shengqu Cai, Eric Ryan Chan, Songyou Peng, Mohamad Shahbazi, Anton Obukhov, Luc Van Gool, Gordon Wetzstein:
DiffDreamer: Consistent Single-view Perpetual View Generation with Conditional Diffusion Models. CoRR abs/2211.12131 (2022) - [i5]J. Ryan Shue, Eric Ryan Chan, Ryan Po, Zachary Ankner, Jiajun Wu, Gordon Wetzstein:
3D Neural Field Generation using Triplane Diffusion. CoRR abs/2211.16677 (2022) - 2021
- [j1]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): 58:1-58:13 (2021) - [c3]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: 5799-5809 - [i4]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 abs/2105.02788 (2021) - [i3]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 abs/2112.07945 (2021) - 2020
- [c2]Vincent Sitzmann, Eric R. Chan, Richard Tucker, Noah Snavely, Gordon Wetzstein:
MetaSDF: Meta-Learning Signed Distance Functions. NeurIPS 2020 - [i2]Vincent Sitzmann, Eric R. Chan, Richard Tucker, Noah Snavely, Gordon Wetzstein:
MetaSDF: Meta-learning Signed Distance Functions. CoRR abs/2006.09662 (2020) - [i1]Eric R. Chan, Marco Monteiro, Petr Kellnhofer, Jiajun Wu, Gordon Wetzstein:
pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis. CoRR abs/2012.00926 (2020)
2000 – 2009
- 2004
- [c1]Tomas Akenine-Möller, Eric R. Chan, Wolfgang Heidrich, Jan Kautz, Mark J. Kilgard, Marc Stamminger:
Real-time shadowing techniques. SIGGRAPH Course Notes 2004: 27
Coauthor Index
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