Low-light image enhancement on LOL (test)
36.34PSNROurs
Evaluation results
| Method | Links | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| OursInput type=-2026.04 | 36.34 | — | — | — | — | — | — | — | — | — | — | |
| NeRFInput type=xyRGB2026.04 | 36.24 | — | — | — | — | — | — | — | — | — | — | |
| HashgridInput type=xyRGB2026.04 | 35.65 | — | — | — | — | — | — | — | — | — | — | |
| SIRENInput type=xyRGB2026.04 | 34.87 | — | — | — | — | — | — | — | — | — | — | |
| NeRFInput type=xy2026.04 | 34.73 | — | — | — | — | — | — | — | — | — | — | |
| PyDiff2023.05 | 27.09 | 93 | 0.1 | — | — | — | — | — | — | — | — | |
| SIRENInput type=xy2026.04 | 25.43 | — | — | — | — | — | — | — | — | — | — | |
| LLFlow2021.09 | 25.19 | 93 | 0.11 | — | — | — | — | — | — | — | — | |
| Retinexformer2025.12 | 25.16 | 84.5 | — | — | — | — | — | — | — | — | — | |
| RetinexformerParam=1.61, Lat.=27.742026.05 | 25.16 | 84.5 | 0.131 | — | — | — | — | — | — | — | 71.2 | |
| RetinexformerSupervision Type=Supervised, Params (M)=1.606, FLOPs (G)=280.45, FPS (F/S)=3.222026.04 | 25.15 | 85 | 0.13 | — | — | 6.34 | — | — | — | — | — | |
| LLFLOW2023.05 | 24.99 | 92 | 0.11 | — | — | — | — | — | — | — | — | |
| SNR-NetSupervision Type=Supervised, Params (M)=39.124, FLOPs (G)=394.10, FPS (F/S)=1.762026.04 | 24.61 | 84 | 0.15 | — | — | 7.17 | — | — | — | — | — | |
| HWMNet2023.05 | 24.24 | 85 | 0.12 | — | — | — | — | — | — | — | — | |
| MIRNet2020.03 | 24.14 | 83 | — | — | — | — | — | — | — | — | — | |
| MIRNet2025.12 | 24.14 | 83.5 | — | — | — | — | — | — | — | — | — | |
| MIRNetParam=31.79, Lat.=171.842026.05 | 24.14 | 83 | 0.25 | — | — | — | — | — | — | — | 69.18 | |
| DFPIRVenue=CVPR'25, Task Setting=N+H+R+B+L2025.12 | 23.82 | 84.3 | — | — | — | — | — | — | — | — | — | |
| ClusIR2025.12 | 23.82 | 85.2 | — | — | — | — | — | — | — | — | — | |
| SMG2025.12 | 23.81 | 80.9 | — | — | — | — | — | — | — | — | — | |
| Perceive-IR2025.12 | 23.79 | 84.1 | — | — | — | — | — | — | — | — | — | |
| ClusIRVenue=Ours, Task Setting=N+H+R+B+L2025.12 | 23.78 | 86.5 | — | — | — | — | — | — | — | — | — | |
| DiSI-RParam=32.49, Lat.=253.162026.05 | 23.66 | 85.7 | 0.1 | — | — | — | — | — | — | — | 43.95 | |
| DiSI-GParam=32.49, Lat.=2528.872026.05 | 23.51 | 84.5 | 0.089 | — | — | — | — | — | — | — | 35.71 | |
| MAXIMParam=14.18, Lat.=190.272026.05 | 23.43 | 86.3 | 0.098 | — | — | — | — | — | — | — | 48.59 | |
| IAT2023.05 | 23.38 | 81 | 0.26 | — | — | — | — | — | — | — | — | |
| DiffLLTraining Status=Trained on Our Dataset2025.07 | 23.214 | 82.5 | 0.212 | — | — | — | — | — | — | — | — | |
| DiffIR2025.12 | 23.15 | 82.8 | — | — | — | — | — | — | — | — | — | |
| Blind NAFNetInput type=-2026.04 | 23.04 | — | — | — | — | — | — | — | — | — | — | |
| InstructIRVenue=ECCV'24, Task Setting=N+H+R+B+L2025.12 | 23 | 83.6 | — | — | — | — | — | — | — | — | — | |
| AdaIRVenue=ICLR'25, Task Setting=N+H+R+B+L2025.12 | 23 | 84.5 | — | — | — | — | — | — | — | — | — | |
| MoCE-IRVenue=CVPR'25, Task Setting=N+H+R+B+L2025.12 | 23 | 85.2 | — | — | — | — | — | — | — | — | — | |
| PromptIR2025.12 | 22.97 | 83.4 | — | — | — | — | — | — | — | — | — | |
| Bread2023.05 | 22.96 | 84 | 0.16 | — | — | — | — | — | — | — | — | |
| Perceive-IRVenue=TIP'25, Task Setting=N+H+R+B+L2025.12 | 22.88 | 83.3 | — | — | — | — | — | — | — | — | — | |
| HashgridInput type=xy2026.04 | 22.7 | — | — | — | — | — | — | — | — | — | — | |
| PromptIRVenue=NeurIPS'23, Task Setting=N+H+R+B+L2025.12 | 22.68 | 83.2 | — | — | — | — | — | — | — | — | — | |
| RCTNet2023.05 | 22.67 | 79 | — | — | — | — | — | — | — | — | — | |
| GridformerVenue=IJCV'24, Task Setting=N+H+R+B+L2025.12 | 22.59 | 83.1 | — | — | — | — | — | — | — | — | — | |
| VLM-IMITraining Status=Pre-trained Model, trained on LOL dataset=true2025.07 | 22.437 | 83.3 | 0.172 | — | — | — | — | — | — | — | — | |
| Restormer2025.12 | 22.43 | 82.3 | — | — | — | — | — | — | — | — | — | |
| InstructIRTraining Status=Pre-trained Model, trained on LOL dataset=true2025.07 | 22.017 | 82.4 | 0.177 | — | — | — | — | — | — | — | — | |
| FoDParam=73.45, Lat.=5391.532026.05 | 21.61 | 81.9 | 0.105 | — | — | — | — | — | — | — | 41.31 | |
| Unsupervised Night Image Enhancement NetworkLearning=UL2022.07 | 21.521 | 76.3 | 0.235 | — | 1.07 | — | — | — | — | — | — | |
| NE2023.05 | 21.52 | 76 | 0.24 | — | — | — | — | — | — | — | — | |
| AirNet2025.12 | 21.52 | 83.2 | — | — | — | — | — | — | — | — | — | |
| LAU-NetLearning method=Supervised2023.08 | 21.513 | 80.5 | 0.273 | — | — | — | — | — | — | — | — | |
| IDRVenue=CVPR'23, Task Setting=N+H+R+B+L2025.12 | 21.34 | 82.6 | — | — | — | — | — | — | — | — | — | |
| URetinex2025.12 | 21.33 | 83.5 | — | — | — | — | — | — | — | — | — | |
| KinD++Learning=supervised learning method2021.12 | 21.32 | 82.9 | — | 3.12 | — | — | — | — | — | — | — | |
| KinD++2023.05 | 21.3 | 82 | 0.16 | — | — | — | — | — | — | — | — | |
| KinD++2021.09 | 21.3 | 82 | 0.16 | — | — | — | — | — | — | — | — | |
| TransWeatherVenue=CVPR'22, Task Setting=N+H+R+B+L2025.12 | 21.21 | 79.2 | — | — | — | — | — | — | — | — | — | |
| RetinexformerTraining Status=Trained on Our Dataset2025.07 | 21.184 | 79.2 | 0.159 | — | — | — | — | — | — | — | — | |
| VLM-IMITraining Status=Trained on Our Dataset2025.07 | 21.112 | 80.2 | 0.155 | — | — | — | — | — | — | — | — | |
| UniProcessorTraining Status=Trained on Our Dataset2025.07 | 20.924 | 81.1 | 0.187 | — | — | — | — | — | — | — | — | |
| KinD2020.03 | 20.87 | 80 | — | — | — | — | — | — | — | — | — | |
| KinD2023.05 | 20.87 | 80 | 0.17 | — | — | — | — | — | — | — | — | |
| KinD2021.09 | 20.87 | 80 | 0.17 | — | — | — | — | — | — | — | — | |
| IR-SDEParam=137.15, Lat.=11830.742026.05 | 20.45 | 78.7 | 0.129 | — | — | — | — | — | — | — | 47.28 | |
| Enhancement-Netlabel=ours-1, Time=0.06s, Params=0.88M2019.08 | 20.24 | 79 | 0.14 | — | — | — | — | — | — | — | — | |
| Lv et al.2021.09 | 20.24 | 79 | 0.14 | — | — | — | — | — | — | — | — | |
| HEPLearning=unsupervised learning method2021.12 | 20.23 | 79 | — | 3.78 | — | — | — | — | — | — | — | |
| DRBN2021.09 | 20.13 | 83 | 0.16 | — | — | — | — | — | — | — | — | |
| CDAN2023.08 | 20.102 | 81.6 | 0.167 | — | — | — | — | — | — | — | — | |
| URNSupervision Type=Supervised, Params (M)=0.340, FLOPs (G)=938.23, FPS (F/S)=17.142026.04 | 19.86 | 83 | 0.13 | — | — | 12.39 | — | — | — | — | — | |
| URetinexNetTraining Status=Pre-trained Model, trained on LOL dataset=true2025.07 | 19.842 | 80.4 | 0.237 | — | — | — | — | — | — | — | — | |
| URetinex-NetParam=0.34, Lat.=27.852026.05 | 19.84 | 82.4 | 0.237 | — | — | — | — | — | — | — | 52.38 | |
| Diff-PluginTraining Status=Trained on Our Dataset2025.07 | 19.836 | 68.4 | 0.292 | — | — | — | — | — | — | — | — | |
| GLAD2020.03 | 19.72 | 70 | — | — | — | — | — | — | — | — | — | |
| Self-DACE++Supervision Type=Unsupervised, Model Scale=Large, Params (M)=0.654, FLOPs (G)=764.23, FPS (F/S)=19.442026.04 | 19.69 | 78 | 0.18 | — | — | 13.8 | — | — | — | — | — | |
| GPP-LLIETraining Status=Trained on Our Dataset2025.07 | 19.583 | 76.9 | 0.263 | — | — | — | — | — | — | — | — | |
| QuadPriorTraining Status=Trained on Our Dataset2025.07 | 19.571 | 79.5 | 0.171 | — | — | — | — | — | — | — | — | |
| PairLIESupervision Type=Unsupervised, Model Scale=Large, Params (M)=0.342, FLOPs (G)=368.27, FPS (F/S)=31.162026.04 | 19.51 | 74 | 0.25 | — | — | 12.6 | — | — | — | — | — | |
| Reinforce-Netlabel=ours-2, Time=0.06s, Params=0.92M2019.08 | 19.48 | 81 | 0.16 | — | — | — | — | — | — | — | — | |
| GOUBParam=137.15, Lat.=27289.982026.05 | 19.29 | 77.5 | 0.148 | — | — | — | — | — | — | — | 50.44 | |
| Self-SupervisedLearning=unsupervised learning method2021.12 | 19.13 | 65.1 | — | 4.702 | — | — | — | — | — | — | — | |
| Ours-lightweight-1Time=0.05s, Params=0.21M, Backbone=U-Net2019.08 | 19.08 | 74 | 0.17 | — | — | — | — | — | — | — | — | |
| TAPEVenue=ECCV'22, Task Setting=N+H+R+B+L2025.12 | 18.97 | 62.1 | — | — | — | — | — | — | — | — | — | |
| Self-DACE++ (Small)Supervision Type=Unsupervised, Model Scale=Small, Params (M)=0.023, FLOPs (G)=83.67, FPS (F/S)=35.662026.04 | 18.91 | 59 | 0.33 | — | — | 14.37 | — | — | — | — | — | |
| Ours-lightweight-2Time=0.05s, Params=0.25M, Backbone=U-Net, Technique=Knowledge transfer2019.08 | 18.79 | 77 | 0.21 | — | — | — | — | — | — | — | — | |
| MF2020.03 | 18.79 | 64 | — | — | — | — | — | — | — | — | — | |
| GEFUTraining Status=Trained on Our Dataset2025.07 | 18.648 | 79.2 | 0.197 | — | — | — | — | — | — | — | — | |
| MBLLENTime=0.05s, Params=0.31M2019.08 | 18.56 | 75 | 0.19 | — | — | — | — | — | — | — | — | |
| RUASLearning=SL2022.07 | 18.23 | 72 | 0.35 | — | 3.92 | — | — | — | — | — | — | |
| RUAS2021.09 | 18.23 | 72 | 0.35 | — | — | — | — | — | — | — | — | |
| AirNetVenue=CVPR'22, Task Setting=N+H+R+B+L2025.12 | 18.18 | 73.5 | — | — | — | — | — | — | — | — | — | |
| GSADTraining Status=Trained on Our Dataset2025.07 | 17.964 | 72 | 0.205 | — | — | — | — | — | — | — | — | |
| LLNETLearning method=Supervised2023.08 | 17.959 | 71.3 | 0.36 | — | — | — | — | — | — | — | — | |
| RetinexNet + BM3DTime=2.75s, Params=0.44M, Post-processing=BM3D2019.08 | 17.91 | 73 | 0.22 | — | — | — | — | — | — | — | — | |
| MBLLENLearning method=Supervised2023.08 | 17.902 | 71.5 | 0.247 | — | — | — | — | — | — | — | — | |
| KinD++Learning=Opti2022.07 | 17.752 | 76 | 0.198 | — | 1.298 | — | — | — | — | — | — | |
| Kind++Learning method=Supervised2023.08 | 17.752 | 76 | 0.198 | — | — | — | — | — | — | — | — | |
| KinD++Training Status=Pre-trained Model, trained on LOL dataset=true2025.07 | 17.752 | 75.8 | 0.198 | — | — | — | — | — | — | — | — | |
| KinD++Supervision Type=Supervised, Params (M)=1.068, FLOPs (G)=12238.03, FPS (F/S)=0.462026.04 | 17.75 | 77 | 0.2 | — | — | 14.74 | — | — | — | — | — | |
| Self-DACE++ (Tiny)Supervision Type=Unsupervised, Model Scale=Tiny, Params (M)=0.00034, FLOPs (G)=2.10, FPS (F/S)=51.372026.04 | 17.65 | 61 | 0.32 | — | — | 16.25 | — | — | — | — | — | |
| KinDLearning method=Supervised2023.08 | 17.648 | 77.9 | 0.175 | — | — | — | — | — | — | — | — | |
| EnlightenGANParam=8.64, Lat.=24.052026.05 | 17.61 | 65.3 | 0.372 | — | — | — | — | — | — | — | 94.71 | |
| EnlightenGANTraining Status=Pre-trained Model2025.07 | 17.606 | 65.3 | 0.319 | — | — | — | — | — | — | — | — | |
| LIMETraining Status=Pre-trained Model2025.07 | 17.546 | 53.1 | 0.29 | — | — | — | — | — | — | — | — |