Single Image Deraining On Test100
평가 지표
SSIM
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | SSIM |
|---|---|
| clearing-the-skies-a-deep-network | 0.810 |
| maxim-multi-axis-mlp-for-image-processing | 0.922 |
| mixed-hierarchy-network-for-image-restoration | 0.903 |
| uncertainty-guided-multi-scale-residual-1 | 0.829 |
| multi-stage-progressive-image-restoration | 0.897 |
| multi-scale-progressive-fusion-network-for | 0.876 |
| density-aware-single-image-de-raining-using-a | 0.818 |
| hinet-half-instance-normalization-network-for | 0.906 |
| recurrent-squeeze-and-excitation-context | 0.835 |
| semi-supervised-cnn-for-single-image-rain | 0.788 |
| a-mountain-shaped-single-stage-network-for | 0.903 |
| restormer-efficient-transformer-for-high | 0.923 |