AI RESEARCH
RetinexDualV2: Physically-Grounded Dual Retinex for Generalized UHD Image Restoration
arXiv CS.CV
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ArXi:2603.27979v1 Announce Type: new We propose RetinexDualV2, a unified, physically grounded dual-branch framework for diverse Ultra-High-Definition (UHD) image restoration. Unlike generic models, our method employs a Task-Specific Physical Grounding Module (TS-PGM) to extract degradation-aware priors (e.g., rain masks and dark channels). These explicitly guide a Retinex decomposition network via a novel Physical-conditioned Multi-head Self-Attention (PC-MSA) mechanism, enabling robust reflection and illumination correction.