6 papers
OnlineHMR: Video-based Online World-Grounded Human Mesh Recovery
Yiwen Zhao, Ce Zheng, Yufu Wang +3
Human mesh recovery (HMR) models 3D human body from monocular videos, with recent works extending it to world-coordinate human trajectory and motion reconstruction. However, most e…
DuoMo: Dual Motion Diffusion for World-Space Human Reconstruction
Yufu Wang, Evonne Ng, Soyong Shin +8
We present DuoMo, a generative method that recovers human motion in world-space coordinates from unconstrained videos with noisy or incomplete observations. Reconstructing such mot…
Zero-shot Reconstruction of In-Scene Object Manipulation from Video
Dixuan Lin, Tianyou Wang, Zhuoyang Pan +3
We build the first system to address the problem of reconstructing in-scene object manipulation from a monocular RGB video. It is challenging due to ill-posed scene reconstruction,…
PhysHMR: Learning Humanoid Control Policies from Vision for Physically Plausible Human Motion Reconstruction
Qiao Feng, Yiming Huang, Yufu Wang +2
Reconstructing physically plausible human motion from monocular videos remains a challenging problem in computer vision and graphics. Existing methods primarily focus on kinematics…
PromptHMR: Promptable Human Mesh Recovery
Yufu Wang, Yu Sun, Priyanka Patel +3
Human pose and shape (HPS) estimation presents challenges in diverse scenarios such as crowded scenes, person-person interactions, and single-view reconstruction. Existing approach…
Continuous-Time Human Motion Field from Events
Ziyun Wang, Ruijun Zhang, Zi-Yan Liu +2
This paper addresses the challenges of estimating a continuous-time human motion field from a stream of events. Existing Human Mesh Recovery (HMR) methods rely predominantly on fra…