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SOTA
Single Image Deraining
Single Image Deraining On Test100
Single Image Deraining On Test100
Metrics
SSIM
Results
Performance results of various models on this benchmark
Columns
Model Name
SSIM
Paper Title
Restormer
0.923
Restormer: Efficient Transformer for High-Resolution Image Restoration
MAXIM
0.922
MAXIM: Multi-Axis MLP for Image Processing
HINet
0.906
HINet: Half Instance Normalization Network for Image Restoration
MHNet
0.903
Mixed Hierarchy Network for Image Restoration
M3SNet
0.903
A Mountain-Shaped Single-Stage Network for Accurate Image Restoration
MPRNet
0.897
Multi-Stage Progressive Image Restoration
MSPFN
0.876
Multi-Scale Progressive Fusion Network for Single Image Deraining
RESCAN
0.835
Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining
UMRL
0.829
Uncertainty Guided Multi-Scale Residual Learning-using a Cycle Spinning CNN for Single Image De-Raining
DIDMDN
0.818
Density-aware Single Image De-raining using a Multi-stream Dense Network
DerainNet
0.810
Clearing the Skies: A deep network architecture for single-image rain removal
SEMI
0.788
Semi-supervised Transfer Learning for Image Rain Removal
0 of 12 row(s) selected.
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