Grayscale Image Denoising On Urban100 Sigma25
Métriques
PSNR
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | PSNR | Paper Title | Repository |
|---|---|---|---|
| Hi-IR | 31.92 | Hierarchical Information Flow for Generalized Efficient Image Restoration | - |
| N3Net | 30.19 | Neural Nearest Neighbors Networks | - |
| NLRN | 30.94 | Non-Local Recurrent Network for Image Restoration | - |
| Restormer-Local | 31.55 | Improving Image Restoration by Revisiting Global Information Aggregation | - |
| MWCNN | 30.66 | Multi-level Wavelet-CNN for Image Restoration | - |
| DnCNN | 29.97 | Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising | - |
| SwinIR | 31.3 | SwinIR: Image Restoration Using Swin Transformer | - |
| GCDN | 30.95 | Deep Graph-Convolutional Image Denoising | - |
| Restormer | 31.46 | Restormer: Efficient Transformer for High-Resolution Image Restoration | - |
| KBNet | 31.45 | KBNet: Kernel Basis Network for Image Restoration | - |
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