GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions. - Gene Chou; Ilya Chugunov; Felix Heide (NeurIPS, 2022)

DiffusionSDF: Conditional Generative Modeling of Signed Distance Functions. - Gene Chou; Yuval Bahat; Felix Heide (CoRR, 2022)

Diffusion-SDF: Conditional Generative Modeling of Signed Distance Functions. - Gene Chou; Yuval Bahat; Felix Heide (ICCV, 2023)

YOLOR-Based Multi-Task Learning. - Hung-Shuo Chang; Chien-Yao Wang; Richard Robert Wang; Gene Chou; Hong-Yuan Mark Liao (CoRR, 2023)

Thin On-Sensor Nanophotonic Array Cameras. - Praneeth Chakravarthula; Jipeng Sun; Xiao Li; Chenyang Lei; Gene Chou; Mario Bijelic; Johannes Froesch; Arka Majumdar; Felix Heide (ACM Trans. Graph., 2023)

MegaScenes: Scene-Level View Synthesis at Scale. - Joseph Tung; Gene Chou; Ruojin Cai; Guandao Yang; Kai Zhang 045; Gordon Wetzstein; Bharath Hariharan; Noah Snavely (ECCV (29), 2024)

Generating 3D-Consistent Videos from Unposed Internet Photos. - Gene Chou; Kai Zhang 045; Sai Bi; Hao Tan 002; Zexiang Xu; Fujun Luan; Bharath Hariharan; Noah Snavely (CVPR, 2025)

Generalist YOLO: Towards Real-Time End-to-End Multi-Task Visual Language Models. - Hung-Shuo Chang; Chien-Yao Wang; Richard Robert Wang; Gene Chou; Hong-Yuan Mark Liao (WACV, 2025)

FlashDepth: Real-time Streaming Video Depth Estimation at 2K Resolution. - Gene Chou; Wenqi Xian; Guandao Yang; Mohamed Abdelfattah; Bharath Hariharan; Noah Snavely; Ning Yu 006; Paul E. Debevec (CoRR, 2025)