Research Article
Progressive Rain Removal Based on the Combination Network of CNN and Transformer
| | Models | Rain100H | Rain200H | Rain12 | Rain100L | Average |
| | GMM | 15.05/0.425 | 14.71/0.438 | 32.02/0.855 | 28.66/0.865 | 22.61/0.646 | | RESCAN | 26.94/0.850 | 26.11/0.844 | 33.27/0.953 | 33.97/0.955 | 30.07/0.901 | | PreNet | 29.47/0.903 | 28.74/0.899 | 36.50/0.970 | 37.04/0.978 | 32.94/0.938 | | SSDRNet | 30.87 0.913 | 30.25/0.911 | 35.96/0.944 | 39.15/0.984 | 34.05/0.938 | | TS-CGAN | 26.87 0.849 | — | — | 36.61/0.975 | — | | LSPN | 26.87/0.850 | — | — | 37.18/0.980 | — | | MPRNet | 31.49/0.925 | 29.98/0.917 | 37.47/0.973 | 38.28/0.981 | 34.31/0.949 | | RMUN | 28.99/0.905 | — | — | 38.21/0.984 | — | | Restormer | 31.96/0.916 | 30.75/0.911 | 37.92/0.975 | 39.98/0.987 | 35.15/0.947 | | CNCT (ours) | 32.44/0.942 | 30.26/0.923 | 37.92/0.974 | 40.58/0.989 | 35.30/0.957 |
|
|
Best and second-best scores are highlighted and underlined.
|
