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FujinSplat: Seeing Through Smoke with RAW-Domain Gaussian Splatting

arXiv · AI, language, vision and robotics · article · Sep 5, 2026 · UTC

The appearance of a smoky scene is shaped by two processes that a camera records together: the participating medium alters scene radiance in a view-dependent way, and the image signal processor (ISP) then remaps the result through a nonlinear tone and color transformation. Recovering a clean 3D scene requires separating both. Per-view sRGB dehazing acts only after the ISP has entangled them; standard 3D reconstruction ignores the medium and absorbs it into scene geometry and radiance. FujinSplat addresses the problem in the RAW domain, where the two processes remain separable. A per-scene Base

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Evidence & attribution

First collected: 2026-09-20T21:32:07.623Z. This is not the publication date.