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ResearchFormerly WizWand

Gaussian Grayscale Image Denoising on Urban100 sigma=50 14

28.45PSNRRestormer-Local
26.130826.732927.33527.9371Dec 8, 2021
Updated 8mo ago

Evaluation results

MethodLinks
Restormer-LocalModel Training=single model for various noise levels2021.1228.45
Restormer-LocalModel Training=separate model for each noise level2021.1228.41
RestormerModel Training=single model for various noise levels2021.1228.33
RestormerModel Training=separate model for each noise level2021.1228.29
SwinIRModel Training=separate model for each noise level2021.1227.98
DAGLModel Training=separate model for each noise level2021.1227.97
DRUNetModel Training=single model for various noise levels2021.1227.96
RNANModel Training=separate model for each noise level2021.1227.65
DeamNetModel Training=separate model for each noise level2021.1227.53
NLRNModel Training=separate model for each noise level2021.1227.49
MWCNNModel Training=separate model for each noise level2021.1227.42
FFDNetModel Training=single model for various noise levels2021.1226.5
DnCNNModel Training=single model for various noise levels2021.1226.35
IRCNNModel Training=single model for various noise levels2021.1226.22