3 papers
cs.CV2026
Recovering Physically Plausible Human-Object Interactions from Monocular Videos
Dingbang Huang, Etienne Vouga, Qixing Huang +1
In this paper, we propose RePHO, a method to reconstruct physically plausible human-object interactions (HOI) from monocular videos. While existing kinematic-based approaches produ…
cs.GR2026
SpringTime: Learning Simulatable Models of Cloth with Spatially-varying Constitutive Properties
Guanxiong Chen, Shashwat Suri, Yuhao Wu +5
Materials used in real clothing exhibit remarkable complexity and spatial variation due to common processes such as stitching, hemming, dyeing, printing, padding, and bonding. Simu…
cs.CV2025
Reconstructing Humans with a Biomechanically Accurate Skeleton
Yan Xia, Xiaowei Zhou, Etienne Vouga +2
In this paper, we introduce a method for reconstructing 3D humans from a single image using a biomechanically accurate skeleton model. To achieve this, we train a transformer that…