Single Image Deraining On Test1200
Métriques
PSNR
SSIM
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | PSNR | SSIM |
|---|---|---|
| a-mountain-shaped-single-stage-network-for | 33.52 | 0.925 |
| mixed-hierarchy-network-for-image-restoration | 33.41 | 0.924 |
| uncertainty-guided-multi-scale-residual-1 | - | 0.910 |
| multi-stage-progressive-image-restoration | 32.91 | 0.916 |
| maxim-multi-axis-mlp-for-image-processing | - | 0.922 |
| multi-scale-progressive-fusion-network-for | 32.39 | 0.916 |
| semi-supervised-cnn-for-single-image-rain | 26.05 | 0.822 |
| clearing-the-skies-a-deep-network | - | 0.835 |
| kbnet-kernel-basis-network-for-image | 33.82 | 0.931 |
| density-aware-single-image-de-raining-using-a | - | 0.901 |
| restormer-efficient-transformer-for-high | 33.19 | 0.926 |
| recurrent-squeeze-and-excitation-context | - | 0.882 |
| hinet-half-instance-normalization-network-for | 33.05 | 0.919 |
| prompt-based-all-in-one-image-restoration | 34.77 | 0.937 |