Low-Light Image Enhancement on MEF (NIQE, BRISQUE, PI)
2.65NIQESCLM
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| SCLM2026.07 | 2.65 | — | 2.86 | |
| MambaLIE2026.07 | 3.09 | — | 2.58 | |
| UnfoldLDM2025.11 | 3.152 | — | 2.533 | |
| UnfoldIR2025.11 | 3.387 | — | 2.722 | |
| DiffLL2023.06 | 3.427 | 24.165 | 3.011 | |
| DiffLLmode=off-the-shelf generalization2026.02 | 3.427 | 24.165 | 3.011 | |
| PPformer2026.07 | 3.45 | — | 3.1 | |
| Zero-DCE2023.06 | 3.5 | 29.359 | 2.989 | |
| Zero-DCEmode=off-the-shelf generalization2026.02 | 3.5 | 29.359 | 2.989 | |
| EnlightenGAN2023.06 | 3.556 | 26.799 | 3.27 | |
| EnlightenGANmode=off-the-shelf generalization2026.02 | 3.556 | 26.799 | 3.27 | |
| CIDNet2025.11 | 3.568 | — | 2.683 | |
| SCI2023.06 | 3.608 | 26.716 | 3.286 | |
| SCImode=off-the-shelf generalization2026.02 | 3.608 | 26.716 | 3.286 | |
| Restormer2026.07 | 3.61 | — | 3.32 | |
| DDIMRetrained on LOLv1 training set=true2023.06 | 3.621 | 28.614 | 3.376 | |
| DDIMmode=off-the-shelf generalization2026.02 | 3.621 | 28.614 | 3.376 | |
| M3KE2026.01 | 3.67 | 17.56 | — | |
| WeatherDiffRetrained on LOLv1 training set=true2023.06 | 3.753 | 30.48 | 3.312 | |
| WeatherDiffmode=off-the-shelf generalization2026.02 | 3.753 | 30.48 | 3.312 | |
| Reti-Diff2025.11 | 3.792 | — | 3.308 | |
| RestormerRetrained on LOLv1 training set=true2023.06 | 3.815 | 25.322 | 3.436 | |
| Restormermode=off-the-shelf generalization2026.02 | 3.815 | 25.322 | 3.436 | |
| SCEMmode=off-the-shelf generalization2026.02 | 3.827 | 21.092 | 3.171 | |
| RUAS2026.01 | 3.83 | 23.68 | — | |
| Uformer2026.07 | 3.85 | — | 3.25 | |
| UformerRetrained on LOLv1 training set=true2023.06 | 3.935 | 25.24 | 3.582 | |
| Uformermode=off-the-shelf generalization2026.02 | 3.935 | 25.24 | 3.582 | |
| PairLIE2026.01 | 4.06 | 27.53 | — | |
| SNRNet2023.06 | 4.063 | 28.331 | 3.753 | |
| SNRNetmode=off-the-shelf generalization2026.02 | 4.063 | 28.331 | 3.753 | |
| SNR-Aware2026.01 | 4.18 | 31.28 | — | |
| MIRNet2023.06 | 4.202 | 34.499 | 3.756 | |
| MIRNetmode=off-the-shelf generalization2026.02 | 4.202 | 34.499 | 3.756 | |
| URetinex-Net2023.06 | 4.231 | 34.72 | 3.665 | |
| UHDFourScale=2x2023.06 | 4.231 | 29.538 | 4.124 | |
| URetinex-Netmode=off-the-shelf generalization2026.02 | 4.231 | 34.72 | 3.665 | |
| UHDFour2×mode=off-the-shelf generalization2026.02 | 4.231 | 29.538 | 4.124 | |
| PaletteRetrained on LOLv1 training set=true2023.06 | 4.459 | 25.602 | 4.205 | |
| Palettemode=off-the-shelf generalization2026.02 | 4.459 | 25.602 | 4.205 | |
| GDP2023.06 | 4.609 | 34.859 | 4.115 | |
| GDPmode=off-the-shelf generalization2026.02 | 4.609 | 34.859 | 4.115 | |
| GDP2025.11 | 4.609 | — | 3.694 | |
| LLFlow2026.01 | 4.7 | 30.27 | — | |
| LIME2023.06 | 4.744 | 39.095 | 5.16 | |
| LIMEmode=off-the-shelf generalization2026.02 | 4.744 | 39.095 | 5.16 | |
| DRBN2023.06 | 4.869 | 44.669 | 4.711 | |
| DRBNmode=off-the-shelf generalization2026.02 | 4.869 | 44.669 | 4.711 | |
| RUAS2023.06 | 5.435 | 42.12 | 4.921 | |
| RUASmode=off-the-shelf generalization2026.02 | 5.435 | 42.12 | 4.921 | |
| KinD2026.01 | 5.47 | 49.94 | — | |
| LLFormer2026.07 | 7.17 | — | 5.39 | |
| Retinexformer2026.07 | 7.67 | — | 5.3 |