MUG: Multi-human Graph Network for 3D Mesh Reconstruction from 2D Pose. (arXiv:2205.12583v2 [cs.CV] UPDATED)

Web: http://arxiv.org/abs/2205.12583

Reconstructing multi-human body mesh from a single monocular image is an
important but challenging computer vision problem. In addition to the
individual body mesh models, we need to estimate relative 3D positions among
subjects to generate a coherent representation. In this work, through a single
graph neural network, named MUG (Multi-hUman Graph network), we construct
coherent multi-human meshes using only multi-human 2D pose as input. Compared
with existing methods, which adopt a detection-style pipeline (i.e., extracting
image features and then …

3d arxiv cv graph human mesh network