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Animatable Implicit Neural Representations for Creating Realistic Avatars from Videos. (arXiv:2203.08133v2 [cs.CV] UPDATED)
July 15, 2022, 1:13 a.m. | Sida Peng, Zhen Xu, Junting Dong, Qianqian Wang, Shangzhan Zhang, Qing Shuai, Hujun Bao, Xiaowei Zhou
cs.CV updates on arXiv.org arxiv.org
This paper addresses the challenge of reconstructing an animatable human
model from a multi-view video. Some recent works have proposed to decompose a
non-rigidly deforming scene into a canonical neural radiance field and a set of
deformation fields that map observation-space points to the canonical space,
thereby enabling them to learn the dynamic scene from images. However, they
represent the deformation field as translational vector field or SE(3) field,
which makes the optimization highly under-constrained. Moreover, these
representations cannot be …
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