提出可随相机移动的光照场，实现深海不均匀光照下的逼真场景重建。
Relative Illumination Fields: Learning Medium and Light Independent Underwater Scenes
- 设计随相机移动的局部光照场，捕捉视锥内光照变化。
- 在动态光照与静态散射介质交互下，重建效果优于现有方法。
- 适合水下机器人探索深海、光照复杂场景的三维重建任务。
我们解决在非均匀照明、散射环境中构建一致且逼真的神经辐射场的挑战，尤其针对机器人深入数十米水下时阳光不足的情况。现有水下场景建模多聚焦于静态均匀光照，而本文提出一种附着于相机的新型光照场，可捕获视锥内的不均匀光照效应。结合体素介质表示，该方法有效处理动态光照场与静态散射介质之间的相互作用。实验结果表明，所提方法在鲁棒性与灵活性上均表现优异。
原文摘要 · Abstract (English)
We address the challenge of constructing a consistent and photorealistic Neural Radiance Field in inhomogeneously illuminated, scattering environments with unknown, co-moving light sources. While most existing works on underwater scene representation focus on a static homogeneous illumination, limited attention has been paid to scenarios such as when a robot explores water deeper than a few tens of meters, where sunlight becomes insufficient. To address this, we propose a novel illumination field locally attached to the camera, enabling the capture of uneven lighting effects within the viewing frustum. We combine this with a volumetric medium representation to an overall method that effectively handles interaction between dynamic illumination field and static scattering medium. Evaluation results demonstrate the effectiveness and flexibility of our approach.
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