Grayscale Image Denoising On Urban100 Sigma50
Métriques
PSNR
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | PSNR | Paper Title | Repository |
|---|---|---|---|
| Restormer | 28.29 | Restormer: Efficient Transformer for High-Resolution Image Restoration | |
| N3Net | 26.82 | Neural Nearest Neighbors Networks | |
| GCDN | 27.41 | Deep Graph-Convolutional Image Denoising | |
| Residual Dense Network + | 27.47 | Residual Dense Network for Image Restoration | |
| KBNet | 28.33 | KBNet: Kernel Basis Network for Image Restoration | |
| NLRN | 27.49 | Non-Local Recurrent Network for Image Restoration | |
| SwinIR | 27.98 | SwinIR: Image Restoration Using Swin Transformer | |
| Restormer-Local | 28.41 | Improving Image Restoration by Revisiting Global Information Aggregation | |
| MWCNN | 27.42 | Multi-level Wavelet-CNN for Image Restoration | |
| Hi-IR | 28.91 | Hierarchical Information Flow for Generalized Efficient Image Restoration | - |
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