Eric R. Chan - RankMe

23 papers A* 5A 1Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Diffusion Self-Distillation for Zero-Shot Customized Image Generation. CoRR Shengqu Cai, Eric R. Chan, Yunzhi Zhang, Leonidas J. Guibas, Jiajun Wu, Gordon Wetzstein
2024	A	`conf`	Diffusion in the Dark: A Diffusion Model for Low-Light Text Recognition. WACV Cindy M. Nguyen, Eric R. Chan, Alexander W. Bergman, Gordon Wetzstein
2024	J	`jnl`	Solving Inverse Problems in Protein Space Using Diffusion-Based Priors. CoRR Axel Levy, Eric R. Chan, Sara Fridovich-Keil, Frédéric Poitevin, Ellen D. Zhong, Gordon Wetzstein
2024	J	`jnl`	State of the Art on Diffusion Models for Visual Computing. Comput. Graph. Forum 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
2023	J	`jnl`	Diffusion in the Dark: A Diffusion Model for Low-Light Text Recognition. CoRR Cindy M. Nguyen, Eric R. Chan, Alexander W. Bergman, Gordon Wetzstein
2023	A*	`conf`	Generative Novel View Synthesis with 3D-Aware Diffusion Models. ICCV 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
2023	J	`jnl`	Generative Novel View Synthesis with 3D-Aware Diffusion Models. CoRR 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
2023	J	`jnl`	Real-Time Radiance Fields for Single-Image Portrait View Synthesis. CoRR Alex Trevithick, Matthew A. Chan, Michael Stengel, Eric R. Chan, Chao Liu, Zhiding Yu, Sameh Khamis, Manmohan Chandraker, Ravi Ramamoorthi, Koki Nagano
2023	J	`jnl`	Real-Time Radiance Fields for Single-Image Portrait View Synthesis. ACM Trans. Graph. Alex Trevithick, Matthew A. Chan, Michael Stengel, Eric R. Chan, Chao Liu, Zhiding Yu, Sameh Khamis, Manmohan Chandraker, Ravi Ramamoorthi, Koki Nagano
2023	—	`conf`	Single-Shot Implicit Morphable Faces with Consistent Texture Parameterization. SIGGRAPH (Conference Paper Track) Connor Z. Lin, Koki Nagano, Jan Kautz, Eric R. Chan, Umar Iqbal, Leonidas J. Guibas, Gordon Wetzstein, Sameh Khamis
2023	J	`jnl`	Single-Shot Implicit Morphable Faces with Consistent Texture Parameterization. CoRR Connor Z. Lin, Koki Nagano, Jan Kautz, Eric R. Chan, Umar Iqbal, Leonidas J. Guibas, Gordon Wetzstein, Sameh Khamis
2022	J	`jnl`	3D GAN Inversion for Controllable Portrait Image Animation. CoRR Connor Z. Lin, David B. Lindell, Eric R. Chan, Gordon Wetzstein
2022	A*	`conf`	Efficient Geometry-aware 3D Generative Adversarial Networks. CVPR 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
2022	A*	`conf`	Generative Neural Articulated Radiance Fields. NeurIPS Alexander W. Bergman, Petr Kellnhofer, Wang Yifan, Eric R. Chan, David B. Lindell, Gordon Wetzstein
2022	J	`jnl`	Generative Neural Articulated Radiance Fields. CoRR Alexander W. Bergman, Petr Kellnhofer, Wang Yifan, Eric R. Chan, David B. Lindell, Gordon Wetzstein
2021	J	`jnl`	ACORN: Adaptive Coordinate Networks for Neural Scene Representation. CoRR Julien N. P. Martel, David B. Lindell, Connor Z. Lin, Eric R. Chan, Marco Monteiro, Gordon Wetzstein
2021	J	`jnl`	Acorn: adaptive coordinate networks for neural scene representation. ACM Trans. Graph. Julien N. P. Martel, David B. Lindell, Connor Z. Lin, Eric R. Chan, Marco Monteiro, Gordon Wetzstein
2021	J	`jnl`	Efficient Geometry-aware 3D Generative Adversarial Networks. CoRR 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
2021	A*	`conf`	Pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis. CVPR Eric R. Chan, Marco Monteiro, Petr Kellnhofer, Jiajun Wu, Gordon Wetzstein
2020	A*	`conf`	MetaSDF: Meta-Learning Signed Distance Functions. NeurIPS Vincent Sitzmann, Eric R. Chan, Richard Tucker, Noah Snavely, Gordon Wetzstein
2020	J	`jnl`	MetaSDF: Meta-learning Signed Distance Functions. CoRR Vincent Sitzmann, Eric R. Chan, Richard Tucker, Noah Snavely, Gordon Wetzstein
2020	J	`jnl`	pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis. CoRR Eric R. Chan, Marco Monteiro, Petr Kellnhofer, Jiajun Wu, Gordon Wetzstein
2004	—	`conf`	Real-time shadowing techniques. SIGGRAPH Course Notes Tomas Akenine-Möller, Eric R. Chan, Wolfgang Heidrich, Jan Kautz, Mark J. Kilgard, Marc Stamminger