Single Image Deraining On Rain100L
Métriques
PSNR
SSIM
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | PSNR | SSIM |
|---|---|---|
| pre-trained-image-processing-transformer | 41.62 | 0.988 |
| mara-net-single-image-deraining-network-with | 39.73 | 0.988 |
| prompt-based-all-in-one-image-restoration | 39.22 | 0.981 |
| progressive-image-deraining-networks-a-better | 37.48 | 0.979 |
| multi-stage-progressive-image-restoration | 36.40 | 0.965 |
| maxim-multi-axis-mlp-for-image-processing | - | 0.977 |
| instruct-ipt-all-in-one-image-processing-1 | 39.35 | 0.977 |
| multi-scale-progressive-fusion-network-for | 32.40 | 0.933 |
| a-mountain-shaped-single-stage-network-for | 40.04 | 0.985 |
| hinet-half-instance-normalization-network-for | 37.28 | 0.97 |
| recurrent-squeeze-and-excitation-context | - | 0.881 |
| mixed-hierarchy-network-for-image-restoration | 39.47 | 0.984 |
| semi-supervised-cnn-for-single-image-rain | 25.03 | 0.842 |
| clearing-the-skies-a-deep-network | - | 0.884 |
| image-restoration-with-mean-reverting | 38.3 | 0.9805 |
| uncertainty-guided-multi-scale-residual-1 | - | 0.923 |
| selective-frequency-network-for-image | 38.21 | 0.974 |
| restormer-efficient-transformer-for-high | 38.99 | 0.978 |
| density-aware-single-image-de-raining-using-a | - | 0.741 |