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.
@article{arxiv.2311.03965,
title = {Fast Sun-aligned Outdoor Scene Relighting based on TensoRF},
author = {Yeonjin Chang and Yearim Kim and Seunghyeon Seo and Jung Yi and Nojun Kwak},
journal= {arXiv preprint arXiv:2311.03965},
year = {2023}
}