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.
Enlightengan: Deep light enhance- ment without paired supervision.IEEE transactions on image processing, 30:2340–2349, 2021
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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.