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PoseGU: 3D Human Pose Estimation with Novel Human Pose Generator and Unbiased Learning. (arXiv:2207.03618v1 [cs.CV])
July 11, 2022, 1:10 a.m. | Shannan Guan, Haiyan Lu, Linchao Zhu, Gengfa Fang
cs.LG updates on arXiv.org arxiv.org
3D pose estimation has recently gained substantial interests in computer
vision domain. Existing 3D pose estimation methods have a strong reliance on
large size well-annotated 3D pose datasets, and they suffer poor model
generalization on unseen poses due to limited diversity of 3D poses in training
sets. In this work, we propose PoseGU, a novel human pose generator that
generates diverse poses with access only to a small size of seed samples, while
equipping the Counterfactual Risk Minimization to pursue …
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