Image Denoising on McMaster (PSNR variants)
33.48PSNR (σ=25)MaIR+
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| MaIR+2024.12 | 33.48 | 35.74 | 30.39 | |
| MaIR2024.12 | 33.44 | 35.71 | 30.35 | |
| ART2024.12 | 33.41 | 35.68 | 30.31 | |
| MambaIR2024.12 | 33.35 | 35.62 | 30.31 | |
| Restormer2024.12 | 33.34 | 35.61 | 30.3 | |
| RestormerParams (M)=26.12026.04 | 33.31 | 35.55 | 30.29 | |
| DSCA-FormerParams (M)=65.12026.04 | 33.28 | 35.58 | 30.21 | |
| SwinIR2024.12 | 33.2 | 35.61 | 30.22 | |
| NLFeMF (25/15/9 nbr)Params (M)=15.32026.04 | 33.19 | 35.45 | 30.12 | |
| CTNetParams (M)=49.02026.04 | 33.17 | 35.46 | 30 | |
| LR2Flowtraining_regime=unified, geometric_self_ensemble=true2026.01 | 33.15 | 35.4 | 30.08 | |
| LR2FlowWavelet transformation / Prior type=Data-adaptive2026.01 | 33.15 | 35.4 | 30.08 | |
| DRUNet2024.12 | 33.14 | 35.4 | 30.08 | |
| DRUNettraining_regime=unified2026.01 | 33.14 | 35.4 | 30.08 | |
| DRUNetParams (M)=32.62026.04 | 33.14 | 35.4 | 30.08 | |
| NLFeMF (15/9/7 nbr)Params (M)=7.52026.04 | 33.14 | 35.4 | 30.07 | |
| CODE2024.12 | 33.11 | 35.38 | 30.03 | |
| NLFeMF (15/7/5 nbr)Params (M)=5.42026.04 | 33.11 | 35.37 | 30.02 | |
| BRDNettraining_regime=noise-specific2026.01 | 32.75 | 35.08 | 29.52 | |
| NLFeMF (15 nbr)Params (M)=0.7862026.04 | 32.52 | 34.84 | 29.31 | |
| DSNettraining_regime=unified2026.01 | 32.4 | 34.67 | 29.28 | |
| FFDNettraining_regime=unified2026.01 | 32.35 | 34.66 | 29.18 | |
| FFDNetParams (M)=0.8542026.04 | 32.35 | 34.66 | 29.18 | |
| RPCNNtraining_regime=noise-specific2026.01 | 32.33 | — | 29.33 | |
| IRCNN2024.12 | 32.18 | 34.58 | 28.91 | |
| IRCNNtraining_regime=unified2026.01 | 32.18 | 34.58 | 28.91 | |
| BM3DParams (M)=-2026.04 | 31.66 | 34.06 | 28.51 | |
| DnCNN2024.12 | 31.52 | 33.45 | 28.62 | |
| DnCNNtraining_regime=unified2026.01 | 31.52 | 33.45 | 28.62 | |
| DnCNNParams (M)=0.8542026.04 | 31.52 | 33.45 | 28.62 | |
| FFDNet2024.12 | 29.18 | 34.66 | — | |
| ISTAWavelet transformation / Prior type=Tight Frame2026.01 | 27.99 | 30.87 | 23.83 | |
| ISTAWavelet transformation / Prior type=Haar2026.01 | 25 | 28.38 | 20.22 | |
| ISTAWavelet transformation / Prior type=PixelUnshuffle2026.01 | 20.96 | 25.15 | 15.53 | |
| Total VariationWavelet transformation / Prior type=N/A2026.01 | 13.6 | 13.71 | 13.42 | |
| RNANtraining_regime=noise-specific2026.01 | — | — | 29.72 |