mlsanityData to 14 Oct 2026

Fast Sun-aligned Outdoor Scene Relighting based on TensoRF

arXiv 2311.03965 ↗First posted 7 Nov 2023cs.CVcited by 7

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Abstract (arXiv)

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.

Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). Builds on 45 of its 52 references that are in the map. First posted on arXiv 7 Nov 2023.

Builds on

45 of 52 references.

References · 45

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33 more
  1. 2020Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenescited by 751
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  18. 2021NeRFReN: Neural Radiance Fields with Reflectionscited by 122
  19. 2021NeRF for Outdoor Scene Relightingcited by 114
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  22. 2021Self-supervised Outdoor Scene Relightingcited by 48
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  24. 2022Neural Radiance Transfer Fields for Relightable Novel-view Synthesis with Global Illuminationcited by 41
  25. 2023MixNeRF: Modeling a Ray with Mixture Density for Novel View Synthesis from Sparse Inputscited by 40
  26. 2020Learning to Factorize and Relight a Citycited by 36
  27. 2023FlipNeRF: Flipped Reflection Rays for Few-shot Novel View Synthesiscited by 29
  28. 2018Adversarial Scene Editing: Automatic Object Removal from Weak Supervisioncited by 27
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  33. 2019Shadow Transfer: Single Image Relighting For Urban Road Scenescited by 5

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 4; 2025: 1; 2026: 2.

7 papers.