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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