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Single Image Deraining On Test100

Metrics

SSIM

Results

Performance results of various models on this benchmark

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

0 of 12 row(s) selected.

Single Image Deraining On Test100 | SOTA | HyperAI