Single Image Deraining On Test2800

Metriken

PSNR

SSIM

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

			Paper Title
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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Single Image Deraining On Test2800 | SOTA | HyperAI