Low-Light Image Enhancement on LOL real v2 (PSNR, SSIM, LPIPS)
31.25PSNROurs-4
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Ours-4NFE=42024.10 | 31.25 | 0.904 | 0.038 | |
| Ours-8NFE=82024.10 | 30.919 | 0.895 | 0.04 | |
| Ours-2NFE=22024.10 | 30.613 | 0.89 | 0.045 | |
| WCDMNFE=102024.10 | 30.461 | 0.879 | 0.07 | |
| PyDiffNFE=42024.10 | 29.629 | 0.876 | 0.194 | |
| GLARE2024.07 | 28.98 | 0.905 | 0.097 | |
| GSADParam (M)=17.362023.10 | 28.818 | 0.895 | 0.095 | |
| GSADNFE=102024.10 | 28.818 | 0.895 | 0.095 | |
| LL-SKF2024.07 | 28.45 | 0.905 | 0.111 | |
| RetinexformerNFE=12024.10 | 27.71 | 0.856 | — | |
| SNR-AwareParam (M)=39.132023.10 | 27.209 | 0.871 | 0.157 | |
| SNR-NetNFE=12024.10 | 27.209 | 0.871 | 0.157 | |
| LLFlowParam (M)=37.682023.10 | 26.2 | 0.888 | 0.137 | |
| LLFlowNFE=12024.10 | 26.2 | 0.888 | 0.137 | |
| LLFormerParam (M)=24.552023.10 | 26.197 | 0.819 | 0.209 | |
| LLFormerNFE=12024.10 | 26.197 | 0.819 | 0.209 | |
| CIDNetModel Size Category=Mid-size (1–10M), Param. (M)=1.88, GFLOPs=7.572026.04 | 24.11 | 0.871 | 0.108 | |
| MultinexModel Size Category=Lightweight (< 1M), Param. (M)=0.0446, GFLOPs=2.502026.04 | 23.04 | 0.86 | 0.178 | |
| LightenDiffusion2026.03 | 22.831 | 0.853 | 0.167 | |
| LLFlow2024.07 | 22.8 | 0.84 | 0.171 | |
| RetinexFormerModel Size Category=Mid-size (1–10M), Param. (M)=1.53, GFLOPs=15.852026.04 | 22.79 | 0.84 | 0.171 | |
| GLAREModel Size Category=Heavy (> 10M), Param. (M)=59.48, GFLOPs=508.422026.04 | 22.51 | 0.871 | 0.105 | |
| MRQ2024.07 | 22.37 | 0.846 | 0.142 | |
| DMSA-NetStrategy=Supervised2026.07 | 22.032 | 0.899 | 0.134 | |
| LYT-NetModel Size Category=Lightweight (< 1M), Param. (M)=0.0449, GFLOPs=3.492026.04 | 21.83 | 0.849 | 0.225 | |
| SCRnetStrategy=Unsupervised2026.07 | 21.756 | 0.844 | 0.152 | |
| SNR2024.07 | 21.48 | 0.849 | 0.157 | |
| LLFormerStrategy=Supervised2026.07 | 21.468 | 0.877 | 0.137 | |
| IAML2026.03 | 21.45 | 0.855 | 0.15 | |
| Retinexformer2026.03 | 21.43 | 0.814 | 0.184 | |
| SCFR-WLMB2026.03 | 21.43 | 0.834 | — | |
| EMNetStrategy=Supervised2026.07 | 21.409 | 0.892 | 0.139 | |
| RetinexformerStrategy=Supervised2026.07 | 21.171 | 0.896 | 0.181 | |
| URetinex-Net2024.07 | 21.16 | 0.84 | 0.144 | |
| FIPNetStrategy=Supervised2026.07 | 20.834 | 0.801 | 0.173 | |
| BreadModel Size Category=Mid-size (1–10M), Param. (M)=2.02, GFLOPs=19.852026.04 | 20.83 | 0.847 | 0.174 | |
| SMG-LLIEStrategy=Supervised2026.07 | 20.618 | 0.873 | 0.148 | |
| QuadPriorModel Size Category=Heavy (> 10M), Param. (M)=1252.75, GFLOPs=1103.22026.04 | 20.59 | 0.811 | 0.202 | |
| URetinex-Net++2026.03 | 20.55 | 0.811 | 0.143 | |
| MIRNetParam (M)=5.902023.10 | 20.357 | 0.782 | 0.317 | |
| MIRNetNFE=12024.10 | 20.357 | 0.782 | 0.317 | |
| SCI2024.07 | 20.28 | 0.752 | — | |
| SurroundNet2026.03 | 20.18 | 0.807 | 0.144 | |
| GSADModel Size Category=Heavy (> 10M), Param. (M)=17.36, GFLOPs=442.022026.04 | 20.15 | 0.846 | 0.113 | |
| DRBNParam (M)=2.212023.10 | 20.13 | 0.83 | 0.147 | |
| DRBN2024.07 | 20.13 | 0.83 | 0.147 | |
| DRBNNFE=12024.10 | 20.13 | 0.83 | 0.147 | |
| Sparse2024.07 | 20.06 | 0.816 | — | |
| MIRNet2024.07 | 20.02 | 0.82 | 0.138 | |
| MIRNet2026.03 | 20.02 | 0.82 | 0.317 | |
| Restormer2024.07 | 19.94 | 0.827 | — | |
| Restormer2026.03 | 19.94 | 0.827 | 0.191 | |
| PairLIEModel Size Category=Lightweight (< 1M), Param. (M)=0.3300, GFLOPs=20.812026.04 | 19.89 | 0.778 | 0.317 | |
| PairLIEStrategy=Unsupervised2026.07 | 19.824 | 0.785 | 0.273 | |
| IPT2024.07 | 19.8 | 0.813 | — | |
| Multinex-NanoModel Size Category=Micro (< 10k), Param. (M)=0.00069, GFLOPs=0.042026.04 | 19.66 | 0.784 | 0.266 | |
| RSFNetModel Size Category=Micro (< 10k), Param. (M)=0.002112026.04 | 19.46 | 0.745 | 0.278 | |
| KinDStrategy=Supervised2026.07 | 19.334 | 0.827 | 0.343 | |
| LANet2026.03 | 19.21 | 0.78 | 0.178 | |
| KinD++Param (M)=9.632023.10 | 19.087 | 0.817 | 0.18 | |
| KinD++NFE=12024.10 | 19.087 | 0.817 | 0.18 | |
| UFormer2024.07 | 18.82 | 0.771 | — | |
| UFormer2026.03 | 18.82 | 0.771 | 0.347 | |
| ZeroDCE++2026.03 | 18.75 | 0.571 | 0.313 | |
| EnlightenGANStrategy=Unsupervised2026.07 | 18.701 | 0.673 | 0.709 | |
| EnlightenGANParam (M)=8.642023.10 | 18.64 | 0.677 | 0.309 | |
| EnlightenGANNFE=12024.10 | 18.64 | 0.677 | 0.309 | |
| RetinexNetParam (M)=0.622023.10 | 18.371 | 0.723 | 0.365 | |
| RetinexNetNFE=12024.10 | 18.371 | 0.723 | 0.365 | |
| RUAS2024.07 | 18.37 | 0.723 | — | |
| ZeroDCE++Strategy=Unsupervised2026.07 | 18.266 | 0.554 | 0.311 | |
| EnlightenGAN2026.03 | 18.23 | 0.617 | 0.309 | |
| Zero-DCEParam (M)=0.332023.10 | 18.059 | 0.58 | 0.313 | |
| Zero-DCENFE=12024.10 | 18.059 | 0.58 | 0.313 | |
| ZeroDCEStrategy=Unsupervised2026.07 | 18.013 | 0.577 | 0.314 | |
| KinD++Strategy=Supervised2026.07 | 17.735 | 0.774 | 0.207 | |
| LLFlowStrategy=Supervised2026.07 | 17.635 | 0.854 | 0.131 | |
| KinDParam (M)=8.032023.10 | 17.544 | 0.669 | 0.375 | |
| KinDNFE=12024.10 | 17.544 | 0.669 | 0.375 | |
| KinD2024.07 | 17.54 | 0.669 | 0.375 | |
| KinDModel Size Category=Mid-size (1–10M), Param. (M)=8.02, GFLOPs=34.992026.04 | 17.54 | 0.669 | 0.375 | |
| LLFlowModel Size Category=Heavy (> 10M), Param. (M)=17.42, GFLOPs=358.42026.04 | 17.43 | 0.831 | 0.176 | |
| SCIModel Size Category=Micro (< 10k), Param. (M)=0.00026, GFLOPs=0.062026.04 | 17.3 | 0.54 | 0.294 | |
| SCIStrategy=Unsupervised2026.07 | 17.258 | 0.546 | 0.368 | |
| BIMEF2026.03 | 16.51 | 0.613 | 0.307 | |
| BVIF2026.03 | 16.43 | 0.546 | 0.317 | |
| SRIE2026.03 | 16.12 | 0.556 | 0.332 | |
| RetinexNetModel Size Category=Lightweight (< 1M), Param. (M)=0.8400, GFLOPs=584.472026.04 | 16.1 | 0.401 | 0.543 | |
| ZeroDCEModel Size Category=Lightweight (< 1M), Param. (M)=0.0790, GFLOPs=4.832026.04 | 16.06 | 0.58 | 0.313 | |
| RetinexNetStrategy=Supervised2026.07 | 15.998 | 0.407 | 0.544 | |
| RetinexNet2026.03 | 15.47 | 0.567 | 0.365 | |
| RUASModel Size Category=Micro (< 10k), Param. (M)=0.00343, GFLOPs=0.832026.04 | 15.33 | 0.493 | 0.325 | |
| LIME2023.10 | 15.24 | 0.47 | 0.415 | |
| LIMENFE=12024.10 | 15.24 | 0.47 | 0.415 | |
| LIME2026.03 | 15.19 | 0.469 | 0.415 | |
| KinD2026.03 | 14.74 | 0.641 | 0.375 | |
| SID2024.07 | 13.24 | 0.442 | — | |
| RUASStrategy=Unsupervised2026.07 | 12.736 | 0.475 | 0.348 |