Towards Alleviating the Modeling Ambiguity of Unsupervised Monocular 3D Human Pose Estimation
Author:
Affiliation:
1. Shanghai Jiao Tong University
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9709627/9709628/09710213.pdf?arnumber=9710213
Reference40 articles.
1. Srnet: Improving generalization in 3d human pose estimation with a split-and-recombine approach;zeng;CoRR,2020
2. 3D Human Pose Estimation in the Wild by Adversarial Learning
3. Motion guided 3d pose estimation from videos;wang;CoRR,2020
4. Learning from Synthetic Humans
5. Adversarial Inverse Graphics Networks: Learning 2D-to-3D Lifting and Image-to-Image Translation from Unpaired Supervision
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