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ResearchFormerly WizWand

Image Super-resolution on CBSD68 (PSNR, LPIPS)

26.25PSNRDNI
14.373217.456620.5423.6234Apr 3, 2023
Updated 8mo ago

Evaluation results

MethodLinks
DNIw1=1.00, w2=0.00, Scale=x42023.0426.250.132
tunable convolutions (Ours)w1=1.00, w2=0.00, Scale=x42023.0426.10.129
DyNetw1=1.00, w2=0.00, Scale=x42023.0426.080.13
CFSNetw1=1.00, w2=0.00, Scale=x42023.0426.080.13
tunable convolutions (Ours)w1=0.75, w2=0.25, Scale=x42023.0426.050.123
DyNetw1=0.75, w2=0.25, Scale=x42023.04260.131
CFSNetw1=0.75, w2=0.25, Scale=x42023.0425.980.128
DyNetw1=0.50, w2=0.50, Scale=x42023.0425.820.128
tunable convolutions (Ours)w1=0.50, w2=0.50, Scale=x42023.0425.820.115
CFSNetw1=0.50, w2=0.50, Scale=x42023.0425.620.125
tunable convolutions (Ours)w1=0.25, w2=0.75, Scale=x42023.0425.420.111
DyNetw1=0.25, w2=0.75, Scale=x42023.0425.240.118
CFSNetw1=0.25, w2=0.75, Scale=x42023.0424.980.118
CFSNetw1=0.00, w2=1.00, Scale=x42023.0424.080.117
DyNetw1=0.00, w2=1.00, Scale=x42023.0423.990.117
tunable convolutions (Ours)w1=0.00, w2=1.00, Scale=x42023.0423.610.116
DNIw1=0.00, w2=1.00, Scale=x42023.0422.880.13
DNIw1=0.25, w2=0.75, Scale=x42023.0417.170.141
DNIw1=0.75, w2=0.25, Scale=x42023.0416.270.141
DNIw1=0.50, w2=0.50, Scale=x42023.0414.830.141