485 citations · 555 across the 17 of their papers we have counts for
19 papers
StableGrasp: Reconstructing Physically Stable Human Hand Grasps from Single Images
Han Jiang, Etienne Vouga, Qixing Huang +1
Reconstructing a physically stable human grasp from a single RGB image is challenging because physically modeling grasps is itself difficult, and the problem requires estimating no…
Love Handles: Decimation for Deformation Handles with Compact Support and Low Memory Footprints
David IW Levin, Paul Kry, Kartic Subr +3
Estimating the deformation of solids via physical simulation is an important problem spanning fields such as computer animation, engineering and robotics. Such simulations are comp…
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…
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…
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…
Data-Free Learning of Reduced-Order Kinematics
Nicholas Sharp, Cristian Romero, Alec Jacobson +4
Physical systems ranging from elastic bodies to kinematic linkages are defined on high-dimensional configuration spaces, yet their typical low-energy configurations are concentrate…