TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation

arXiv:2404.16752v1 Announce Type: new
Abstract: We address the problem of regressing 3D human pose and shape from a single image, with a focus on 3D accuracy. The current best methods leverage large datasets of 3D pseudo-ground-truth (p-GT) and 2D keypoints, leading to robust performance. With such methods, we observe a paradoxical decline in 3D pose accuracy with increasing 2D accuracy. This is caused by biases in the p-GT and the use of an approximate camera projection model. We quantify the …

arxiv cs.cv human mesh recovery representation type