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.

翻译：本文提出了一种面向神经辐射场（NeRF）的户外场景重光照方法，称为太阳对齐重光照TensoRF（SR-TensoRF）。SR-TensoRF提供了一种与太阳方向对齐的轻量级快速流程，从而简化了工作流，无需环境贴图。我们的太阳对齐策略源于以下洞见：与视点相关的反照率不同，阴影由光方向决定。在阴影生成过程中，我们直接以太阳方向作为输入，大幅简化了推理过程的要求。此外，SR-TensoRF通过引入我们提出的立方体贴图概念，充分发挥了TensoRF的训练效率，与现有方法相比，显著加速了训练和渲染过程。