NoPe‐NeRF++: Local‐to‐Global Optimization of NeRF with No Pose Prior

In this paper, we introduce NoPe‐NeRF++, a novel local‐to‐global optimization algorithm for training Neural Radiance Fields (NeRF) without requiring pose priors. Existing methods, particularly NoPe‐NeRF, which focus solely on the local relationships within images, often struggle to recover accurate...

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Vydané v:	Computer graphics forum Ročník 44; číslo 2
Hlavní autori:	Shi, Dongbo, Cao, Shen, Wu, Bojian, Guo, Jinhui, Fan, Lubin, Chen, Renjie, Liu, Ligang, Ye, Jieping
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Oxford Blackwell Publishing Ltd 01.05.2025
Predmet:	Bundle adjustment CCS Concepts Computing methodologies → Image‐based rendering Global optimization Optimization Pose estimation
ISSN:	0167-7055, 1467-8659
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