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)

Efficient Geometry-aware 3D Generative Adversarial Networks. - Eric R. Chan; Connor Z. Lin; Matthew A. Chan 001; Koki Nagano; Boxiao Pan; Shalini De Mello; Orazio Gallo; Leonidas J. Guibas; Jonathan Tremblay; Sameh Khamis; Tero Karras; Gordon Wetzstein (CVPR, 2022)

NeuForm: Adaptive Overfitting for Neural Shape Editing. - Connor Z. Lin; Niloy J. Mitra; Gordon Wetzstein; Leonidas J. Guibas; Paul Guerrero 001 (NeurIPS, 2022)

3D GAN Inversion for Controllable Portrait Image Animation. - Connor Z. Lin; David B. Lindell; Eric R. Chan; Gordon Wetzstein (CoRR, 2022)

Single-Shot Implicit Morphable Faces with Consistent Texture Parameterization. - Connor Z. Lin; Koki Nagano; Jan Kautz; Eric R. Chan; Umar Iqbal 001; Leonidas J. Guibas; Gordon Wetzstein; Sameh Khamis (SIGGRAPH (Conference Paper Track), 2023)

3D-Adapter: Geometry-Consistent Multi-View Diffusion for High-Quality 3D Generation. - Hansheng Chen 001; Bokui Shen; Yulin Liu; Ruoxi Shi; Linqi Zhou; Connor Z. Lin; Jiayuan Gu; Hao Su 001; Gordon Wetzstein; Leonidas J. Guibas (CoRR, 2024)

GazeFusion: Saliency-Guided Image Generation. - Yunxiang Zhang; Nan Wu; Connor Z. Lin; Gordon Wetzstein; Qi Sun 003 (ACM Trans. Appl. Percept., 2024)