SOURCE-LINKED INTELLIGENCE
3D-USE: From Image-Level to Scene-Level Underwater Enhancement
Underwater 3D reconstruction faithfully reproduces the color shifts and visibility loss of captured views, while physical inversion may leave estimation errors in the recovered scene appearance. We formulate Underwater Scene-level Enhancement (USE) as learning a persistent, visibility-enhanced 3D scene representation from degraded multi-view underwater observations, enabling consistent enhanced rendering. Realizing USE requires both a reliable scene representation for enhancement and a consistent enhancement target without paired enhanced 3D data. Therefore, we present 3D-USE, a two-stage fram
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-28T07:34:13.000Z
First collected: 2026-09-21T08:21:55.975Z. This is not the publication date.