Low-light enhancement on LOL v1 (test)
30.02PSNRResfusion
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| ResfusionParams=7.7M, Color Space=YCbCr, Resolution=256 x 2562023.11 | 30.02 | 95.4 | 0.07 | |
| IG-DiffCategory=One-stage, Training=End-to-End2026.05 | 27.74 | 98.1 | — | |
| RDDMParams(M)=7.73, MACs(G) x Steps=32.9 x 2 = 65.8, Inference Time(s)=0.03 x 2 = 0.062023.08 | 25.392 | 93.7 | 0.116 | |
| RDDM (SM-Res)Params=7.7M, Color Space=YCbCr, Resolution=256 x 2562023.11 | 25.39 | 93.7 | 0.116 | |
| LLFlowParams(M)=17.42, MACs(G) x Steps=286.33 x 1 = 286.3, Inference Time(s)=0.18 x 1 = 0.182023.08 | 25.19 | 93 | 0.11 | |
| ResfusionParams=7.7M, Color Space=RGB, Resolution=Original2023.11 | 24.63 | 86 | 0.107 | |
| Full precision (teacher)Student Model=None2026.06 | 24.14 | 80.1 | 0.15 | |
| RDDM (SM-Res-N)Params=15.5M, Color Space=YCbCr, Resolution=256 x 2562023.11 | 23.9 | 93.1 | — | |
| DFPIRApproach Type=Specialized all-in-one approach2025.05 | 23.82 | 84.3 | — | |
| LLFormerParams=24.6M, Color Space=RGB, Resolution=Original2023.11 | 23.65 | 81.6 | 0.169 | |
| LLformerParams(M)=24.51, MACs(G) x Steps=22.0 x 1 = 22.0, Inference Time(s)=0.09 x 1 = 0.092023.08 | 23.649 | 81.6 | 0.169 | |
| Res-HAIRParams.=29M, Blind restoration=true2024.08 | 23.12 | 84.7 | — | |
| InstructIR-5DParams=17M, Model Scale=Heavy, Approach=Specialized all-in-one2024.11 | 23 | 83.6 | — | |
| MoCE-IRParams=25M, Model Scale=Heavy, Approach=Specialized all-in-one2024.11 | 23 | 85.2 | — | |
| InstructIRApproach Type=Specialized all-in-one approach2025.05 | 23 | 83.6 | — | |
| PromptIRParams.=36M, Blind restoration=true2024.08 | 22.89 | 84.2 | — | |
| InstructIRParams.=16M, Blind restoration=false2024.08 | 22.83 | 83.6 | — | |
| GridformerParams=34M, Model Scale=Heavy, Approach=Specialized all-in-one2024.11 | 22.59 | 83.1 | — | |
| MambaIRParams=27M, Model Scale=Heavy, Approach=Specialized all-in-one2024.11 | 22.49 | 83.2 | — | |
| RestormerColor Space=RGB, Resolution=Original2023.11 | 22.37 | 81.6 | 0.141 | |
| SPARKStudent Model=Self Quantized MIRNet [19]2026.06 | 22.01 | 78.5 | 0.176 | |
| DGUNetParams.=17M, Blind restoration=true2024.08 | 21.87 | 82.3 | — | |
| DGUNetParams=17M, Model Scale=Heavy, Approach=General image restorer2024.11 | 21.87 | 82.3 | — | |
| DGUNetApproach Type=General image restorer2025.05 | 21.87 | 82.3 | — | |
| MOCE-IR-SParams=11M, Model Scale=Light, Approach=Specialized all-in-one2024.11 | 21.68 | 85.1 | — | |
| SLKD + QATStudent Model=Self Quantized MIRNet [19]2026.06 | 21.67 | 78 | 0.178 | |
| KD + QATStudent Model=Self Quantized MIRNet [19]2026.06 | 21.45 | 77.8 | 0.179 | |
| IDRParams.=15M, Blind restoration=true2024.08 | 21.34 | 82.6 | — | |
| IDRParams=15M, Model Scale=Heavy, Approach=Specialized all-in-one2024.11 | 21.34 | 82.6 | — | |
| IDRApproach Type=Specialized all-in-one approach2025.05 | 21.34 | 82.6 | — | |
| SPARKStudent Model=Quantized DnCNN [20]2026.06 | 21.32 | 77.8 | 0.181 | |
| KinD++Params=9.6M, Color Space=RGB, Resolution=Original2023.11 | 21.3 | 82 | 0.16 | |
| TransweatherParams.=38M, Blind restoration=true2024.08 | 21.21 | 79.2 | — | |
| TransweatherParams=38M, Model Scale=Heavy, Approach=Specialized all-in-one2024.11 | 21.21 | 79.2 | — | |
| TransweatherApproach Type=Specialized all-in-one approach2025.05 | 21.21 | 79.2 | — | |
| SLKD + QATStudent Model=Quantized DnCNN [20]2026.06 | 20.97 | 76.4 | 0.19 | |
| FAKD + QATStudent Model=Quantized DnCNN [20]2026.06 | 20.88 | 76.1 | 0.191 | |
| KinDParams=8.0M, Color Space=RGB, Resolution=Original2023.11 | 20.87 | 79 | 0.17 | |
| NAFNetParams.=17M, Blind restoration=true2024.08 | 20.49 | 80.9 | — | |
| NAFNetParams=17M, Model Scale=Heavy, Approach=General image restorer2024.11 | 20.49 | 80.9 | — | |
| NAFNetApproach Type=General image restorer2025.05 | 20.49 | 80.9 | — | |
| DLNCategory=One-stage, Training=Retrained on dataset (End-to-End)2026.05 | 20.42 | 91.2 | — | |
| RestormerParams.=26M, Blind restoration=true2024.08 | 20.41 | 80.6 | — | |
| RestormerParams=26M, Model Scale=Heavy, Approach=General image restorer2024.11 | 20.41 | 80.6 | — | |
| RestormerApproach Type=General image restorer2025.05 | 20.41 | 80.6 | — | |
| QATStudent Model=Self Quantized MIRNet [19]2026.06 | 20.32 | 76.2 | 0.185 | |
| FAKD + QATStudent Model=Self Quantized MIRNet [19]2026.06 | 20.2 | 76 | 0.189 | |
| STLCategory=One-stage, Training=Retrained on dataset (End-to-End)2026.05 | 20.15 | 85.7 | — | |
| PTQStudent Model=Self Quantized MIRNet [19]2026.06 | 20.1 | 75.1 | 0.194 | |
| DCKD + QATStudent Model=Self Quantized MIRNet [19]2026.06 | 19.92 | 75.1 | 0.192 | |
| DCKD + QATStudent Model=Quantized DnCNN [20]2026.06 | 19.84 | 75.1 | 0.198 | |
| DLParams.=2M, Blind restoration=true2024.08 | 19.83 | 71.2 | — | |
| DLParams=2M, Model Scale=Light, Approach=Specialized all-in-one2024.11 | 19.83 | 71.2 | — | |
| DLApproach Type=Specialized all-in-one approach2025.05 | 19.83 | 71.2 | — | |
| KD + QATStudent Model=Quantized DnCNN [20]2026.06 | 19.45 | 74.2 | 0.204 | |
| QATStudent Model=Quantized DnCNN [20]2026.06 | 19.01 | 72 | 0.211 | |
| TAPEParams.=1M, Blind restoration=true2024.08 | 18.97 | 62.1 | — | |
| TAPEParams=1M, Model Scale=Light, Approach=Specialized all-in-one2024.11 | 18.97 | 62.1 | — | |
| TAPEApproach Type=Specialized all-in-one approach2025.05 | 18.97 | 62.1 | — | |
| GDNCategory=Two-stage, Pipeline=Restoration -> Enhancement, Enhancement Module=DLN2026.05 | 18.93 | 88.1 | — | |
| GDNCategory=One-stage, Training=Retrained on dataset (End-to-End)2026.05 | 18.72 | 85.3 | — | |
| PTQStudent Model=Quantized DnCNN [20]2026.06 | 18.47 | 71.9 | 0.261 | |
| AirNetParams.=9M, Blind restoration=true2024.08 | 18.18 | 73.5 | — | |
| AirNetParams=9M, Model Scale=Light, Approach=Specialized all-in-one2024.11 | 18.18 | 73.5 | — | |
| AirNetApproach Type=Specialized all-in-one approach2025.05 | 18.18 | 73.5 | — | |
| MIRCategory=One-stage, Training=Retrained on dataset (End-to-End)2026.05 | 17.88 | 82.1 | — | |
| WeatherDiffCategory=One-stage, Training=Retrained on dataset (End-to-End)2026.05 | 17.85 | 90.1 | — | |
| SwinIRParams.=1M, Blind restoration=true2024.08 | 17.81 | 72.3 | — | |
| SwinIRParams=1M, Model Scale=Light, Approach=General image restorer2024.11 | 17.81 | 72.3 | — | |
| SwinIRApproach Type=General image restorer2025.05 | 17.81 | 72.3 | — | |
| DMSCategory=One-stage, Training=Retrained on dataset (End-to-End)2026.05 | 17.78 | 83.4 | — | |
| EnlightenGANParams=8.6M, Color Space=RGB, Resolution=Original2023.11 | 17.48 | 65.2 | 0.322 | |
| PaletteCategory=One-stage, Training=Retrained on dataset (End-to-End)2026.05 | 16.99 | 77 | — | |
| DLNCategory=Two-stage, Pipeline=Enhancement -> Restoration, Restoration Module=GDN2026.05 | 16.87 | 78.2 | — | |
| RetinexNetParams=0.6M, Color Space=RGB, Resolution=Original2023.11 | 16.77 | 56 | 0.474 | |
| DiTCategory=One-stage, Training=Retrained on dataset (End-to-End)2026.05 | 16.33 | 69.1 | — | |
| STLCategory=Two-stage, Pipeline=Restoration -> Enhancement, Enhancement Module=DLN2026.05 | 16.22 | 76.1 | — | |
| DLNCategory=Two-stage, Pipeline=Enhancement -> Restoration, Restoration Module=STL2026.05 | 15.86 | 75.9 | — | |
| DMSCategory=Two-stage, Pipeline=Restoration -> Enhancement, Enhancement Module=DLN2026.05 | 15.79 | 75.5 | — | |
| DLNCategory=Two-stage, Pipeline=Enhancement -> Restoration, Restoration Module=DMS2026.05 | 14.91 | 68 | — | |
| Zero-DCEParams=0.3M, Color Space=RGB, Resolution=Original2023.11 | 14.86 | 56.2 | 0.335 | |
| Input ImageColor Space=YCbCr, Resolution=256 x 2562023.11 | 9.3 | 37.7 | 0.513 | |
| Input ImageColor Space=RGB, Resolution=Original2023.11 | 7.77 | 19.1 | 0.569 |