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Lifting 2D Human Pose to 3D with Domain Adapted 3D Body Concept
Lifting the 2D human pose to the 3D pose is an important yet challenging task. Existing 3D pose estimation suffers from 1) the inherent ambiguity between the 2D and 3D data, and 2) the lack of well labeled 2D-3D pose pairs in the wild. Human beings are able to imagine the human 3D pose from a 2D image or a set of 2D body key-points with the least ambiguity, which should be attributed to the prior knowledge of the human body that we have acquired in our mind. Inspired by this, we propose a newdoi:10.48550/arxiv.2111.11969 fatcat:rg2feqnyhvcptmusqfvf27dmay