Image Denoising on SIDD Benchmark official (test) benchmark leaderboard · SOTA2 Research

Image Denoising on SIDD Benchmark official (test)

39.28PSNRInvDN

Evaluation Results

Method	Links
InvDN2023.03		39.28	0.955
VDN2023.03		39.26	0.955
DANet2023.03		39.25	0.955
AINDNet(R)2023.03		38.84	0.951
RIDNet2023.03		37.87	0.943
AT-BSN (D)2023.03		37.78	0.944
AT-BSN (D)2023.03		37.77	0.942
DnCNN2023.03		37.61	0.941
SDAP (E)2023.03		37.53	0.936
Spatially-Adaptive (UNet)2023.03		37.41	0.934
Spatially-Adaptive (UNet)2023.03		37.37	0.929
LG-BPN2023.03		37.28	0.936
SDAP (E)2023.03		37.24	0.936
AP-BSN + R32023.03		36.91	0.931
C-BSN2023.03		36.82	0.934
AT-BSN2023.03		36.74	0.925
AT-BSN2023.03		36.73	0.924
AP-BSN + R32023.03		35.97	0.925
C2N2023.03		35.35	0.937
R2R2023.03		34.78	0.898
CVF-SID2023.03		34.71	0.917
CVF-SID2023.03		34.43	0.912
CBDNet2023.03		33.28	0.868
Noise2Self2023.03		29.56	0.808
Noise2Void2023.03		27.68	0.668
WNNM2023.03		25.78	0.809
BM3D2023.03		25.65	0.685