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Dual-Space NeRF: Learning Animatable Avatars and Scene Lighting in Separate Spaces. (arXiv:2208.14851v1 [cs.CV])
Sept. 1, 2022, 1:14 a.m. | Yihao Zhi, Shenhan Qian, Xinhao Yan, Shenghua Gao
cs.CV updates on arXiv.org arxiv.org
Modeling the human body in a canonical space is a common practice for
capturing and animation. But when involving the neural radiance field (NeRF),
learning a static NeRF in the canonical space is not enough because the
lighting of the body changes when the person moves even though the scene
lighting is constant. Previous methods alleviate the inconsistency of lighting
by learning a per-frame embedding, but this operation does not generalize to
unseen poses. Given that the lighting condition is …
More from arxiv.org / cs.CV updates on arXiv.org
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