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Image Denoising on Kodak Gaussian Noise (sigma=50)

29.78PSNRMPRnet
19.3822.0824.7827.48Nov 29, 2021Apr 18, 2022Sep 6, 2022Jan 25, 2023Jun 14, 2023Nov 2, 2023Mar 22, 2024

Evaluation results

MethodLinks
MPRnetType=Supervised2021.1129.780.817
IDRType=Unsupervised2021.1129.270.803
SupervisedType=Supervised2021.1129.240.803
N2N2021.1129.230.803
DBSNBackbone=10x larger (97.4G FLOPS)2021.1128.810.783
Nr2n2021.1128.730.77
SLLearning Paradigm=Supervised2021.1228.71—
N2NLearning Paradigm=Supervised2021.1228.7—
OursLearning Paradigm=Self-Supervised2021.1228.64—
BM3D2021.1128.640.772
Laine19-pmeLearning Paradigm=Self-Supervised2021.1228.63—
N2V2021.1128.570.776
Nei2NeiLearning Paradigm=Self-Supervised2021.1228.28—
N2ScoreLearning Paradigm=Self-Supervised2021.1228.23—
N2SLearning Paradigm=Self-Supervised2021.1228.21—
Laine19-muLearning Paradigm=Self-Supervised2021.1227.78—
DILTraining=Multiple noise levels required2024.0327.460.736
CLIPDenoisingTraining=Single noise level2024.0327.390.723
BM3DLearning Paradigm=Conventional2021.1227.02—
N2VLearning Paradigm=Self-Supervised2021.1225.75—
HATTraining=Multiple noise levels required2024.0321.040.39
MaskDenoising2024.0320.720.368
Restormer2024.0320.120.321
DnCNN2024.0319.780.301