A CLIP-guided training recipe for zero-reference low-light enhancement improves downstream detection and classification on several benchmarks, though gains are small and the evaluation has fairness gaps.
Adaptive unfolding total variation network for low-light image enhancement,
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Leveraging Content and Context Cues for Low-Light Image Enhancement
A CLIP-guided training recipe for zero-reference low-light enhancement improves downstream detection and classification on several benchmarks, though gains are small and the evaluation has fairness gaps.