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MR Denoising on IXI (test)

36.16PSNRRelativeFlow
26.924829.322431.7234.1176Apr 16, 2026

Evaluation results

MethodLinks
RelativeFlowType=SimSGL, Category=MID, Backbone=2D Guided U-Net, Inference Steps=32026.0436.1693.211.493.01
RelativeFlowType=SimSGL, Category=Medical Image Denoising (MID), Inference steps=32026.0436.1693.211.493.01
Flow MatchingType=SimSGL, Category=NID, Backbone=2D Guided U-Net, Inference Steps=32026.0435.1885.421.813.49
Flow MatchingType=SimSGL, Category=Natural Image Denoising (NID), Inference steps=32026.0435.1885.421.813.49
SwinIRType=SimSDL, Category=NID, Backbone=2D U-Net2026.0434.3592.381.553.68
SwinIRType=SimSDL, Category=Natural Image Denoising (NID)2026.0434.3592.381.553.68
CNN-DMRIType=SimSDL, Category=MID, Backbone=Specific architectural contribution2026.0432.0380.211.694.91
CNN-DMRIType=SimSDL, Category=Medical Image Denoising (MID)2026.0432.0380.211.694.91
R2D2+Type=SimSGL, Category=MID, Backbone=2D Guided U-Net, Inference Steps=32026.0431.9671.452.574.46
R2D2+Type=SimSGL, Category=Medical Image Denoising (MID), Inference steps=32026.0431.9671.452.574.46
Noise2SelfType=SSL, Category=NID, Backbone=2D U-Net2026.0430.4888.723.453.82
Noise2SelfType=SSL, Category=Natural Image Denoising (NID)2026.0430.4888.723.453.82
DDIMType=SimSGL, Category=NID, Backbone=2D Guided U-Net, Inference Steps=32026.0429.5270.054.535.85
DDIMType=SimSGL, Category=Natural Image Denoising (NID), Inference steps=32026.0429.5270.054.535.85
Deformed2SelfType=SSL, Category=MID, Backbone=2D U-Net2026.0427.2879.915.295.51
Deformed2SelfType=SSL, Category=Medical Image Denoising (MID)2026.0427.2879.915.295.51