Motion capture from video works with any target skeleton topology

CAST combines learned rotation prediction with geometric correction to handle mismatched skeletons without retargeting.

Chinese Tech
Pu Pang · Zhongfei Qing · Ling-Hao Chen · Songnan Li · Hua Huang · Bo Hu

Xi'an Jiaotong University · Zhongguancun Academy · Tencent · Tsinghua University · Beijing Normal University

Research Digest··3 min read
The authors present CAST, a framework that recovers motion from a single monocular video onto a user-supplied target skeleton, even when that skeleton's topology—joint count, branching, and rest pose—differs from the subject in the video.

The authors propose CAST, a topology-aware motion capture framework from monocular video.

Why this paper

From Tencent and 4 others

In one line

CAST recovers motion from monocular video for any target skeleton topology using learned rotations and geometric correction.

What we could check

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Research Digest

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