Yang, Gengshan

14 publications

ICLR 2025 Agent-to-Sim: Learning Interactive Behavior Models from Casual Longitudinal Videos Gengshan Yang, Andrea Bajcsy, Shunsuke Saito, Angjoo Kanazawa
CVPR 2024 SplaTAM: Splat Track & mAP 3D Gaussians for Dense RGB-D SLAM Nikhil Keetha, Jay Karhade, Krishna Murthy Jatavallabhula, Gengshan Yang, Sebastian Scherer, Deva Ramanan, Jonathon Luiten
NeurIPS 2024 Tactile DreamFusion: Exploiting Tactile Sensing for 3D Generation Ruihan Gao, Kangle Deng, Gengshan Yang, Wenzhen Yuan, Jun-Yan Zhu
CVPR 2023 3D-Aware Conditional Image Synthesis Kangle Deng, Gengshan Yang, Deva Ramanan, Jun-Yan Zhu
CVPR 2023 Distilling Neural Fields for Real-Time Articulated Shape Reconstruction Jeff Tan, Gengshan Yang, Deva Ramanan
ICCV 2023 PPR: Physically Plausible Reconstruction from Monocular Videos Gengshan Yang, Shuo Yang, John Z. Zhang, Zachary Manchester, Deva Ramanan
CVPR 2023 Reconstructing Animatable Categories from Videos Gengshan Yang, Chaoyang Wang, N. Dinesh Reddy, Deva Ramanan
ICCV 2023 Total-Recon: Deformable Scene Reconstruction for Embodied View Synthesis Chonghyuk Song, Gengshan Yang, Kangle Deng, Jun-Yan Zhu, Deva Ramanan
CVPR 2022 BANMo: Building Animatable 3D Neural Models from Many Casual Videos Gengshan Yang, Minh Vo, Natalia Neverova, Deva Ramanan, Andrea Vedaldi, Hanbyul Joo
CVPR 2021 LASR: Learning Articulated Shape Reconstruction from a Monocular Video Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Huiwen Chang, Deva Ramanan, William T. Freeman, Ce Liu
CVPR 2021 Learning to Segment Rigid Motions from Two Frames Gengshan Yang, Deva Ramanan
NeurIPS 2021 NeRS: Neural Reflectance Surfaces for Sparse-View 3D Reconstruction in the Wild Jason Zhang, Gengshan Yang, Shubham Tulsiani, Deva Ramanan
NeurIPS 2021 ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Ce Liu, Deva Ramanan
NeurIPS 2019 Volumetric Correspondence Networks for Optical Flow Gengshan Yang, Deva Ramanan