Xiaoxuan Ma, Jiajun Su, Chunyu Wang, Wentao Zhu, Yizhou Wang
TL;DR本文提出了基于虚拟标记的中间表示方法,通过学习 64 个身体表面关键点来重构逼真的 3D 网格,精度高于现有方法。
Abstract
Inspired by the success of volumetric 3d pose estimation, some recent human
mesh estimators propose to estimate 3D skeletons as intermediate
representations, from which, the dense 3D meshes are regressed by exploiting
the mesh topology. However, body shape information is lost in extrac