Image Denoising on Urban100 (Specific Noise Levels)
30.41PSNR (sigma=50)MaIR+
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| MaIR+2024.12 | 30.41 | 35.42 | 33.3 | — | |
| MaIR2024.12 | 30.3 | 35.35 | 33.22 | — | |
| ART2024.12 | 30.19 | 35.29 | 33.14 | — | |
| MambaIR2024.12 | 30.07 | 35.17 | 32.99 | — | |
| Restormer2024.12 | 30.02 | 35.13 | 32.96 | — | |
| SwinIR2024.12 | 29.82 | 35.13 | 32.9 | — | |
| M2IRCategory=All-In-One, Setting=One-by-one, Retrained=false2026.03 | 29.78 | 34.99 | 32.79 | — | |
| AdaIRCategory=All-In-One, Setting=One-by-one, Retrained=false2026.03 | 29.7 | 34.96 | 32.74 | — | |
| LR2Flowtraining_regime=unified, geometric_self_ensemble=true2026.01 | 29.65 | 34.86 | 32.66 | — | |
| LR2FlowWavelet transformation / Prior type=Data-adaptive2026.01 | 29.65 | 34.86 | 32.66 | — | |
| DRUNet2024.12 | 29.61 | 34.81 | 32.6 | — | |
| DRUNettraining_regime=unified2026.01 | 29.61 | 34.81 | 32.6 | — | |
| VLU-NetExperimental Setting=task-aligned2026.06 | 29.61 | 34.92 | 32.71 | — | |
| MLMIRExperimental Setting=task-aligned2026.06 | 29.54 | 34.94 | 32.56 | — | |
| PromptIRCategory=All-In-One, Setting=One-by-one, Retrained=true2026.03 | 29.5 | 34.83 | 32.59 | — | |
| Perceive-IRCategory=All-In-One, Setting=One-by-one, Retrained=false2026.03 | 29.42 | 34.86 | 32.55 | — | |
| Perceive-IRExperimental Setting=task-aligned2026.06 | 29.42 | 34.86 | 32.55 | — | |
| RDNtraining_regime=noise-specific2026.01 | 29.38 | — | — | — | |
| FSNetExperimental Setting=task-aligned2026.06 | 29.15 | 34.15 | 32.04 | — | |
| RNANtraining_regime=noise-specific2026.01 | 29.08 | — | — | — | |
| SFNetExperimental Setting=task-aligned2026.06 | 29.03 | 34.19 | 32.01 | — | |
| AirNetCategory=All-In-One, Setting=One-by-one, Retrained=false2026.03 | 28.88 | 34.4 | 32.1 | — | |
| ADFNetCategory=Task-Specific, Setting=One-by-one, Retrained=false2026.03 | 28.71 | 34.5 | 32.13 | — | |
| RPCNNtraining_regime=noise-specific2026.01 | 28.62 | — | 31.81 | — | |
| BRDNettraining_regime=noise-specific2026.01 | 28.56 | 34.42 | 31.99 | — | |
| AdaIRtraining setting=five-degradation2024.03 | 28.29 | 34.1 | 31.68 | — | |
| IDRtraining setting=five-degradation2024.03 | 28.07 | 33.82 | 31.29 | — | |
| FSNetCategory=General-Purpose, Setting=One-by-one, Retrained=false2026.03 | 28.07 | 33.88 | 31.31 | — | |
| FFDNet2024.12 | 28.05 | 33.83 | 31.4 | — | |
| FFDNettraining_regime=unified2026.01 | 28.05 | 33.83 | 31.4 | — | |
| FFDNetCategory=Task-Specific, Setting=One-by-one, Retrained=false2026.03 | 28.05 | 33.83 | 31.4 | — | |
| RestormerCategory=General-Purpose, Setting=One-by-one, Retrained=false2026.03 | 28.03 | 33.72 | 31.26 | — | |
| DGUNetCategory=General-Purpose, Setting=One-by-one, Retrained=false2026.03 | 27.94 | 33.67 | 31.27 | — | |
| IRCNN2024.12 | 27.7 | 33.78 | 31.2 | — | |
| IRCNNtraining_regime=unified2026.01 | 27.7 | 33.78 | 31.2 | — | |
| DnCNN2024.12 | 27.59 | 32.98 | 30.81 | — | |
| DnCNNtraining_regime=unified2026.01 | 27.59 | 32.98 | 30.81 | — | |
| DnCNNCategory=Task-Specific, Setting=One-by-one, Retrained=false2026.03 | 27.59 | 32.98 | 30.81 | — | |
| AirNettraining setting=five-degradation2024.03 | 27.45 | 33.16 | 30.83 | — | |
| MIRNet-v2Category=General-Purpose, Setting=One-by-one, Retrained=false2026.03 | 27.22 | 33.3 | 30.75 | — | |
| NAFNetCategory=General-Purpose, Setting=One-by-one, Retrained=false2026.03 | 27.2 | 33.14 | 30.64 | — | |
| Transweathertraining setting=five-degradation2024.03 | 26.08 | 29.64 | 27.97 | — | |
| TAPEtraining setting=five-degradation2024.03 | 25.87 | 32.19 | 29.65 | — | |
| ISTAWavelet transformation / Prior type=Tight Frame2026.01 | 21.65 | 28.58 | 25.47 | — | |
| DLtraining setting=five-degradation2024.03 | 20.42 | 21.1 | 21.28 | — | |
| ISTAWavelet transformation / Prior type=Haar2026.01 | 18.98 | 27.05 | 23.51 | — | |
| Total VariationWavelet transformation / Prior type=N/A2026.01 | 16.25 | 17.6 | 17.04 | — | |
| ISTAWavelet transformation / Prior type=PixelUnshuffle2026.01 | 15.13 | 24.9 | 20.64 | — |