AI RESEARCH
Style-Decoupled Adaptive Routing Network for Underwater Image Enhancement
arXiv CS.CV
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ArXi:2604.12257v1 Announce Type: new Underwater Image Enhancement (UIE) is essential for robust visual perception in marine applications. However, existing methods predominantly rely on uniform mapping tailored to average dataset distributions, leading to over-processing mildly degraded images or insufficient recovery for severe ones. To address this challenge, we propose a novel adaptive enhancement framework, SDAR-Net. Unlike existing uniform paradigms, it first decouples specific degradation styles from the input and subsequently modulates the enhancement process adaptively.