AI RESEARCH
Single-Stage Signal Attenuation Diffusion Model for Low-Light Image Enhancement and Denoising
arXiv CS.CV
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ArXi:2604.05727v1 Announce Type: new Diffusion models excel at image restoration via probabilistic modeling of forward noise addition and reverse denoising, and their ability to handle complex noise while preserving fine details makes them well-suited for Low-Light Image Enhancement (LLIE). Mainstream diffusion based LLIE methods either adopt a two-stage pipeline or an auxiliary correction network to refine U-Net outputs, which severs the intrinsic link between enhancement and denoising and leads to suboptimal performance owing to inconsistent optimization objectives.