3D Neural Field Generation using Triplane Diffusion

GNARF

J. Ryan Shue*, Eric R. Chan*, Ryan Po*, Zachary Ankner*, Jiajun Wu, Gordon Wetzstein. Arxiv 2022.

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

GNARF

Shengqu Cai, Eric R. Chan, Songyou Peng, Mohamad Shahbazi, Anton Obukhov, Gordon Wetzstein. Arxiv 2022.

Generative Neural Articulated Radiance Fields

GNARF

Alexander W. Bergman*, Petr Kellnhofer*, Wang Yifan*, Eric R. Chan*, David B. Lindell, Gordon Wetzstein. NeurIPS 2022.

EG3D: Efficient Geometry-aware 3D Generative Adversarial Networks

Eric Ryan Chan*, Connor Zhizhen Lin*, Matthew Aaron Chan*, Koki Nagano*, Boxiao Pan, Shalini De Mello, Orazio Gallo, Leonidas Guibas, Jonathan Tremblay, Sameh Khamis, Tero Karras, Gordon Wetzstein. CVPR 2022 (Oral).

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

pi-GAN

Eric Ryan Chan*, Marco Monteiro*, Petr Kellnhofer, Jiajun Wu, Gordon Wetzstein. CVPR 2021 (Oral).

MetaSDF: Meta-Learning Signed Distance Functions

MetaSDF

Vincent Sitzmann*, Eric R. Chan*, Richard Tucker, Noah Snavely, Gordon Wetzstein. NeurIPS 2020.

ACORN: Adaptive Coordinate Networks for Neural Representation

ACORN

Julien N. P. Martel*, David B. Lindell*, Connor Z. Lin, Eric R. Chan, Marco Monteiro, Gordon Wetzstein. SIGGRAPH 2021.

Invited Talks

3D Generative Models @ GAMES: Graphics And Mixed Environment Symposium

pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis @ MIT 3D Representation Reading Group

EG3D and 3D-Aware GANs @ CMU Graphics Seminar