Consist-Retinex achieves one-step Retinex enhancement via a Retinex Transformer decomposition network and conditional consistency models trained with noise-emphasized dual objectives that align trajectory consistency to ground-truth components.
Diff-retinex++: Retinex-driven rein- forced diffusion model for low-light image enhance- ment.IEEE Transactions on Pattern Analysis and Ma- chine Intelligence, 2025
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Consist-Retinex: One-Step Noise-Emphasized Consistency Training Accelerates High-Quality Retinex Enhancement
Consist-Retinex achieves one-step Retinex enhancement via a Retinex Transformer decomposition network and conditional consistency models trained with noise-emphasized dual objectives that align trajectory consistency to ground-truth components.