Gaussian color image denoising on McMaster (test)
35.73PSNRMambaIRv2
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| MambaIRv2σ=152024.11 | 35.73 | — | — | — | |
| MambaIRnoise level (σ)=152024.02 | 35.7 | — | — | — | |
| MambaIRσ=152024.11 | 35.7 | — | — | — | |
| Xformerσ=152024.11 | 35.68 | — | — | — | |
| SwinIRnoise level (σ)=152024.02 | 35.61 | — | — | — | |
| Restormernoise level (σ)=152024.02 | 35.61 | — | — | — | |
| SwinIRσ=152024.11 | 35.61 | — | — | — | |
| Restormerσ=152024.11 | 35.61 | — | — | — | |
| DRUNetnoise level (σ)=152024.02 | 35.4 | — | — | — | |
| DRUNetσ=152024.11 | 35.4 | — | — | — | |
| FFDNetnoise level (σ)=152024.02 | 34.66 | — | — | — | |
| FFDNetσ=152024.11 | 34.66 | — | — | — | |
| IRCNNnoise level (σ)=152024.02 | 34.58 | — | — | — | |
| IRCNNσ=152024.11 | 34.58 | — | — | — | |
| DnCNNnoise level (σ)=152024.02 | 33.45 | — | — | — | |
| DnCNNσ=152024.11 | 33.45 | — | — | — | |
| MambaIRnoise level (σ)=252024.02 | 33.43 | — | — | — | |
| Restormernoise level (σ)=252024.02 | 33.34 | — | — | — | |
| SwinIRnoise level (σ)=252024.02 | 33.2 | — | — | — | |
| DRUNetnoise level (σ)=252024.02 | 33.14 | — | — | — | |
| FFDNetnoise level (σ)=252024.02 | 32.35 | — | — | — | |
| IRCNNnoise level (σ)=252024.02 | 32.18 | — | — | — | |
| DnCNNnoise level (σ)=252024.02 | 31.52 | — | — | — | |
| MambaIRnoise level (σ)=502024.02 | 30.35 | — | — | — | |
| Restormernoise level (σ)=502024.02 | 30.3 | — | — | — | |
| SwinIRnoise level (σ)=502024.02 | 30.22 | — | — | — | |
| DRUNetnoise level (σ)=502024.02 | 30.08 | — | — | — | |
| FFDNetnoise level (σ)=502024.02 | 29.18 | — | — | — | |
| IRCNNnoise level (σ)=502024.02 | 28.91 | — | — | — | |
| DnCNNnoise level (σ)=502024.02 | 28.62 | — | — | — | |
| BRDNetTraining strategy=separate models2021.11 | — | 35.08 | 32.75 | 29.52 | |
| DnCNNTraining strategy=single model2021.11 | — | 33.45 | 31.52 | 28.62 | |
| DnCNNParams [M]=0.562023.03 | — | 33.45 | 31.52 | 28.62 | |
| DRUNetTraining strategy=single model2021.11 | — | 35.4 | 33.14 | 30.08 | |
| DRUNetParams [M]=32.642023.03 | — | 35.4 | 33.14 | 30.08 | |
| DSNetTraining strategy=single model2021.11 | — | 34.67 | 32.4 | 29.28 | |
| EDT-BParams [M]=11.482023.03 | — | 35.61 | 33.34 | 30.25 | |
| FFDNetTraining strategy=single model2021.11 | — | 34.66 | 32.35 | 29.18 | |
| GRL-BParams [M]=19.812023.03 | — | 35.73 | 33.46 | 30.36 | |
| GRL-SParams [M]=3.122023.03 | — | 35.59 | 33.29 | 30.18 | |
| GRL-TParams [M]=0.882023.03 | — | 35.49 | 33.18 | 30.06 | |
| IPTTraining strategy=separate models2021.11 | — | — | — | 29.98 | |
| IPTParams [M]=115.332023.03 | — | — | — | 29.98 | |
| IRCNNTraining strategy=single model2021.11 | — | 34.58 | 32.18 | 28.91 | |
| RDNTraining strategy=separate models2021.11 | — | — | — | 29.38 | |
| RestormerTraining strategy=single model2021.11 | — | 35.55 | 33.31 | 30.29 | |
| RestormerTraining strategy=separate models2021.11 | — | 35.61 | 33.34 | 30.3 | |
| RestormerParams [M]=26.132023.03 | — | 35.61 | 33.34 | 30.3 | |
| RNANTraining strategy=separate models2021.11 | — | — | — | 29.72 | |
| RNANParams [M]=8.962023.03 | — | — | — | 29.72 | |
| RPCNNTraining strategy=separate models2021.11 | — | — | 32.33 | 29.33 | |
| SwinIRTraining strategy=separate models2021.11 | — | 35.61 | 33.2 | 30.22 | |
| SwinIRParams [M]=11.752023.03 | — | 35.61 | 33.2 | 30.22 |