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MUG: Multi-human Graph Network for 3D Mesh Reconstruction from 2D Pose. (arXiv:2205.12583v1 [cs.CV])
May 26, 2022, 1:12 a.m. | Chenyan Wu, Yandong Li, Xianfeng Tang, James Wang
cs.CV updates on arXiv.org arxiv.org
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 …
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