Efficient Human Motion Reconstruction from Monocular Videos with Physical Consistency Loss
Author:
Affiliation:
1. Universität Hamburg, Germany
2. Peking University, China
3. Diago, China
Funder
National Science Foundation of China (NSFC)
German Research Foundation (DFG)
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3610548.3618169
Reference55 articles.
1. Nefeli Andreou, Andreas Aristidou, and Yiorgos Chrysanthou. 2022. Pose representations for deep skeletal animation. In Computer Graphics Forum, Vol. 41. Wiley Online Library, 155–167.
2. Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a Video
3. Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose
4. Monocular Expressive Body Regression Through Body-Driven Attention
5. David Coleman, Ioan Sucan, Sachin Chitta, and Nikolaus Correll. 2014. Reducing the barrier to entry of complex robotic software: a MoveIt! case study. Journal of Software Engineering for Robotics (2014).
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