She_Relative_Illumination_Fields_Learning_Medium_and_Light_Independent_Underwater_Scenes@ICCV2025@CVF

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#1 Relative Illumination Fields: Learning Medium and Light Independent Underwater Scenes [PDF] [Copy] [Kimi] [REL]

Authors: Mengkun She, Felix Seegräber, David Nakath, Patricia Schöntag, Kevin Köser

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.

Subject: ICCV.2025 - Poster