LOL-v2
Introduced by Yang et al. in From Fidelity to Perceptual Quality: A Semi-Supervised Approach for Low-Light Image Enhancement
LOL-v2-real contains 689 low-/normal-light image pairs for training and 100 pairs for testing.
Benchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
|---|---|---|---|---|---|
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LOL-v2
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CIDNet
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Papers
| Paper | Code | Results | Date | Stars |
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