VQ-HPS: Human Pose and Shape Estimation in a Vector-Quantized Latent Space

arXiv:2312.08291v2 Announce Type: replace
Abstract: Previous works on Human Pose and Shape Estimation (HPSE) from RGB images can be broadly categorized into two main groups: parametric and non-parametric approaches. Parametric techniques leverage a low-dimensional statistical body model for realistic results, whereas recent non-parametric methods achieve higher precision by directly regressing the 3D coordinates of the human body mesh. This work introduces a novel paradigm to address the HPSE problem, involving a low-dimensional discrete latent representation of the human mesh and …

arxiv cs.cv human replace shape space type vector