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ResearchFormerly WizWand

Image Denoising on Fluoroscopy dataset

36.47PSNROurs w/ S2S
13.361219.360625.3631.3594Aug 30, 2022
Updated 8mo ago

Evaluation results

MethodLinks
Ours w/ S2SGaussian noise variance=0.0012022.0836.470.941
Ours w/ N2SGaussian noise variance=0.0012022.0834.780.948
Self2SelfGaussian noise variance=0.0012022.0834.390.941
Ours w/ S2SGaussian noise variance=0.0032022.0834.180.864
Ours w/ S2SGaussian noise variance=0.0052022.0832.780.938
Noise2SelfGaussian noise variance=0.0012022.0830.690.935
Self2SelfGaussian noise variance=0.0032022.0829.960.87
Ours w/ N2SGaussian noise variance=0.0032022.0829.80.895
Self2SelfGaussian noise variance=0.0052022.0827.720.819
Ours w/ N2SGaussian noise variance=0.0052022.0826.860.854
Ours w/ N2VGaussian noise variance=0.0012022.0825.130.96
Noise2SelfGaussian noise variance=0.0032022.0823.990.854
Ours w/ N2VGaussian noise variance=0.0032022.0821.980.92
Noise2SelfGaussian noise variance=0.0052022.0821.010.801
Ours w/ N2VGaussian noise variance=0.0052022.0819.290.89
Noise2VoidGaussian noise variance=0.0012022.0819.270.919
Noise2VoidGaussian noise variance=0.0032022.0815.740.856
Noise2VoidGaussian noise variance=0.0052022.0814.250.82