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Computer Science > Computer Vision and Pattern Recognition

arXiv:2311.03965 (cs)
[Submitted on 7 Nov 2023]

Title:Fast Sun-aligned Outdoor Scene Relighting based on TensoRF

Authors:Yeonjin Chang, Yearim Kim, Seunghyeon Seo, Jung Yi, Nojun Kwak
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Abstract:In this work, we introduce our method of outdoor scene relighting for Neural Radiance Fields (NeRF) named Sun-aligned Relighting TensoRF (SR-TensoRF). SR-TensoRF offers a lightweight and rapid pipeline aligned with the sun, thereby achieving a simplified workflow that eliminates the need for environment maps. Our sun-alignment strategy is motivated by the insight that shadows, unlike viewpoint-dependent albedo, are determined by light direction. We directly use the sun direction as an input during shadow generation, simplifying the requirements of the inference process significantly. Moreover, SR-TensoRF leverages the training efficiency of TensoRF by incorporating our proposed cubemap concept, resulting in notable acceleration in both training and rendering processes compared to existing methods.
Comments: WACV 2024
Subjects: Computer Vision and Pattern Recognition (cs.CV)
Cite as: arXiv:2311.03965 [cs.CV]
  (or arXiv:2311.03965v1 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2311.03965

Submission history

From: Yeonjin Chang [view email]
[v1] Tue, 7 Nov 2023 13:06:30 UTC (11,521 KB)
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