Gaussian Grayscale Image Denoising on Urban100 sigma=50 14
28.45PSNRRestormer-Local
Evaluation Results
| Method | Links | |
|---|---|---|
| Restormer-LocalModel Training=single model for various noise levels2021.12 | 28.45 | |
| Restormer-LocalModel Training=separate model for each noise level2021.12 | 28.41 | |
| RestormerModel Training=single model for various noise levels2021.12 | 28.33 | |
| RestormerModel Training=separate model for each noise level2021.12 | 28.29 | |
| SwinIRModel Training=separate model for each noise level2021.12 | 27.98 | |
| DAGLModel Training=separate model for each noise level2021.12 | 27.97 | |
| DRUNetModel Training=single model for various noise levels2021.12 | 27.96 | |
| RNANModel Training=separate model for each noise level2021.12 | 27.65 | |
| DeamNetModel Training=separate model for each noise level2021.12 | 27.53 | |
| NLRNModel Training=separate model for each noise level2021.12 | 27.49 | |
| MWCNNModel Training=separate model for each noise level2021.12 | 27.42 | |
| FFDNetModel Training=single model for various noise levels2021.12 | 26.5 | |
| DnCNNModel Training=single model for various noise levels2021.12 | 26.35 | |
| IRCNNModel Training=single model for various noise levels2021.12 | 26.22 |