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ResearchFormerly WizWand

Image Denoising on PolyU (test)

38.91PSNRMeD
26.89830.016533.13536.2535Sep 10, 2023
Updated 8mo ago

Evaluation results

MethodLinks
MeDMAC (G)=26.18, Supervised=false, Trained with=NP + SIDD2023.0938.9198.94
MeDMAC (G)=26.18, Supervised=false, Trained with=Synthetic (NP)2023.0938.6598.55
MeDTraining Data=Noise Pool (DIV2K)2023.0938.6598.55
N2SMAC (G)=26.18, Supervised=false, Trained with=Real (SIDD)2023.0936.4197.21
N2STraining Data=Noise Pool (DIV2K)2023.0936.4197.21
RestormerMAC (G)=140.99, Supervised=true, Trained with=Real (SIDD)2023.0936.3895.88
N2NMAC (G)=26.18, Supervised=false, Trained with=Real (SIDD)2023.0936.2296.79
N2NTraining Data=Noise Pool (DIV2K)2023.0936.2296.79
N2CTraining Data=Noise Pool (DIV2K)2023.0935.8996.52
DBD4Training Data=Noise Pool (DIV2K)2023.0935.6995.71
MM-BSNMAC (G)=339.46, Supervised=false, Trained with=Real (SIDD)2023.0935.494.84
LIRTraining Data=Noise Pool (DIV2K)2023.0934.8172.78
R2RTraining Data=Noise Pool (DIV2K)2023.0934.5888.9
CVF-SIDMAC (G)=77.86, Supervised=false, Trained with=Real (SIDD)2023.093387.68
NAFNetMAC (G)=63.6, Supervised=true, Trained with=Real (SIDD)2023.0927.3692.25