ECCV 2024poster27 citations
PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observations
Yang Zheng*, Qingqing Zhao, Guandao Yang, Wang Yifan, Donglai Xiang, Florian Dubost, Dmitry Lagun, Thabo Beeler
Abstract
"[width=0.9]figure/teaserv 4.pdf Figure 1: PhysAvatar is a novel framework that captures the physics of dressed 3D avatars from visual observations, enabling a wide spectrum of applications, such as (a) animation, (b) relighting, and (c) redressing, with high-fidelity rendering results."
BibTeX
@inproceedings{eccv2024_physavatarlearni,
title = {PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observations},
author = {Yang Zheng* and Qingqing Zhao and Guandao Yang and Wang Yifan and Donglai Xiang and Florian Dubost and Dmitry Lagun and Thabo Beeler and Federico Tombari and Leonidas Guibas and Gordon Wetzstein},
booktitle = {ECCV 2024},
year = {2024}
}