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Single Image Deraining On Test2800
Metrics
PSNR
SSIM
Results
Performance results of various models on this benchmark
| Paper Title | Repository | |||
|---|---|---|---|---|
| KBNet | 34.19 | 0.944 | KBNet: Kernel Basis Network for Image Restoration | |
| Restormer | 34.18 | 0.944 | Restormer: Efficient Transformer for High-Resolution Image Restoration | |
| HINet | 33.91 | 0.941 | HINet: Half Instance Normalization Network for Image Restoration | |
| MAXIM | 33.80 | - | MAXIM: Multi-Axis MLP for Image Processing | |
| MPRNet | 33.64 | 0.938 | Multi-Stage Progressive Image Restoration | |
| MSPFN | 32.82 | 0.930 | Multi-Scale Progressive Fusion Network for Single Image Deraining | |
| RESCAN | 31.29 | 0.904 | Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining | - |
| UMRL | 29.97 | 0.905 | Uncertainty Guided Multi-Scale Residual Learning-using a Cycle Spinning CNN for Single Image De-Raining | |
| DIDMDN | 28.13 | 0.867 | Density-aware Single Image De-raining using a Multi-stream Dense Network | |
| SEMI | 24.43 | 0.782 | Semi-supervised Transfer Learning for Image Rain Removal | |
| DerainNet | 24.31 | 0.861 | Clearing the Skies: A deep network architecture for single-image rain removal | |
| PreNet | - | 0.916 | Progressive Image Deraining Networks: A Better and Simpler Baseline |
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