NeuS-PIR: Learning relightable neural surface using pre-integrated rendering

In this paper, we propose NeuS-PIR, a novel approach for learning relightable neural surfaces using pre-integrated rendering from multi-view image observations. Unlike traditional methods based on NeRFs or discrete mesh representations, our approach employs an implicit neural surface representation...

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書目詳細資料

Principais autores:	Shi Mao, Chenming Wu, Zhelun Shen, Yifan Wang, Dayan Wu, Liangjun Zhang
格式:	Artigo
語言:	Inglês
出版:	Tsinghua University Press 2025-08-01
叢編:	Computational Visual Media
主題:	inverse rendering pre-integrated rendering neural implicit representation
在線閱讀:	https://www.sciopen.com/article/10.26599/CVM.2025.9450493
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