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WHAC: World-grounded Humans and Cameras
March 20, 2024, 4:42 a.m. | Wanqi Yin, Zhongang Cai, Ruisi Wang, Fanzhou Wang, Chen Wei, Haiyi Mei, Weiye Xiao, Zhitao Yang, Qingping Sun, Atsushi Yamashita, Ziwei Liu, Lei Yang
cs.LG updates on arXiv.org arxiv.org
Abstract: Estimating human and camera trajectories with accurate scale in the world coordinate system from a monocular video is a highly desirable yet challenging and ill-posed problem. In this study, we aim to recover expressive parametric human models (i.e., SMPL-X) and corresponding camera poses jointly, by leveraging the synergy between three critical players: the world, the human, and the camera. Our approach is founded on two key observations. Firstly, camera-frame SMPL-X estimation methods readily recover absolute …
abstract aim arxiv cameras cs.ai cs.cv cs.gr cs.lg cs.ro human humans parametric scale study synergy type video world
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