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Single Image Deraining On Test1200

Metrics

PSNR

SSIM

Results

Performance results of various models on this benchmark

Model Name	PSNR	SSIM	Paper Title	Repository
M3SNet	33.52	0.925	A Mountain-Shaped Single-Stage Network for Accurate Image Restoration	-
MHNet	33.41	0.924	Mixed Hierarchy Network for Image Restoration	-
UMRL	-	0.910	Uncertainty Guided Multi-Scale Residual Learning-using a Cycle Spinning CNN for Single Image De-Raining	-
MPRNet	32.91	0.916	Multi-Stage Progressive Image Restoration	-
MAXIM	-	0.922	MAXIM: Multi-Axis MLP for Image Processing	-
MSPFN	32.39	0.916	Multi-Scale Progressive Fusion Network for Single Image Deraining	-
SEMI	26.05	0.822	Semi-supervised Transfer Learning for Image Rain Removal	-
DerainNet	-	0.835	Clearing the Skies: A deep network architecture for single-image rain removal	-
KBNet	33.82	0.931	KBNet: Kernel Basis Network for Image Restoration	-
DIDMDN	-	0.901	Density-aware Single Image De-raining using a Multi-stream Dense Network	-
Restormer	33.19	0.926	Restormer: Efficient Transformer for High-Resolution Image Restoration	-
RESCAN	-	0.882	Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining	-
HINet	33.05	0.919	HINet: Half Instance Normalization Network for Image Restoration	-
CAPTNet	34.77	0.937	Prompt-based Ingredient-Oriented All-in-One Image Restoration	-

0 of 14 row(s) selected.

Single Image Deraining On Test1200 | SOTA | HyperAI