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Image Super-resolution on BSD100 (PSNR variants)

24.54PSNRReal-RRDB
22.709623.184823.6624.1352Dec 22, 2021

Evaluation results

MethodLinks
Real-RRDBp=0.5, Parameters=16.7M, Scale factor=x42021.1224.54————————
Real-RRDBp=0.5, Parameters=16.7M, Scale factor=x42021.1224.44————————
Real-SwinIRdropout probability (p)=0.5, upsampling scale=x42021.1224.44————————
Real-SwinIRdropout probability (p)=0, upsampling scale=x42021.1224.43————————
Real-RRDBp=0, Parameters=16.7M, Scale factor=x42021.1224.42————————
Real-SwinIRdropout probability (p)=0, upsampling scale=x42021.1224.23————————
Real-RRDBp=0, Parameters=16.7M, Scale factor=x42021.1224.22————————
Real-SwinIRdropout probability (p)=0.5, upsampling scale=x42021.1224.19————————
Real-SRResNetp=0.7, Parameters=1.5M, Scale factor=x42021.1224.18————————
Real-SRResNetp=0, Parameters=1.5M, Scale factor=x42021.1223.89————————
Real-SRResNetp=0.7, Parameters=1.5M, Scale factor=x42021.1223.89————————
Real-SRResNetp=0, Parameters=1.5M, Scale factor=x42021.1223.67————————
Real-RRDBp=0.5, Parameters=16.7M, Scale factor=x42021.1223.41————————
Real-RRDBp=0, Parameters=16.7M, Scale factor=x42021.1223.25————————
Real-RRDBp=0.5, Parameters=16.7M, Scale factor=x42021.1223.15————————
Real-SRResNetp=0.7, Parameters=1.5M, Scale factor=x42021.1223.02————————
Real-SRResNetp=0, Parameters=1.5M, Scale factor=x42021.1223.01————————
Real-SRResNetp=0.7, Parameters=1.5M, Scale factor=x42021.1222.97————————
Real-RRDBp=0, Parameters=16.7M, Scale factor=x42021.1222.95————————
Real-SRResNetp=0, Parameters=1.5M, Scale factor=x42021.1222.78————————
DropoutBackbone=SRResNet, Scale=x42025.06—23.3723.242122.722.2422.5422.1722.39
DropoutBackbone=SwinIR, Scale=x42025.06—23.923.8722.123.0822.6822.822.3322.64
Explicit Adaptive DropoutBackbone=SRResNet, Scale=x42025.06—23.7623.5921.482322.4822.8122.3122.59
Explicit Adaptive DropoutBackbone=SwinIR, Scale=x42025.06—24.0923.5922.2423.2922.8123.0522.522.78
Implicit Adaptive DropoutBackbone=SRResNet, Scale=x42025.06—23.7323.521.532322.4422.7822.3222.6
Implicit Adaptive DropoutBackbone=SwinIR, Scale=x42025.06—24.0123.522.1923.2822.823.0522.3922.57
SRResNetRegularization=None, Scale=x42025.06—23.0622.9920.3422.4822.2722.3422.0522.24
SwinIRRegularization=None, Scale=x42025.06—23.9123.8322.1223.0422.6122.8222.3422.61