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ResearchFormerly WizWand

Image Super-Resolution on Manga109 (LPIPS, PSNR, SSIM)

0.0032LPIPSML-CrAIST (Ours)
-0.0413480.2593510.560050.860749Feb 29, 2024Mar 28, 2024Apr 26, 2024May 25, 2024Jun 22, 2024Jul 21, 2024Aug 19, 2024
Updated 8mo ago

Evaluation results

MethodLinks
ML-CrAIST (Ours)Scale=4x2024.080.0032——
SwinIRScale=4x2024.080.0033——
ML-CrAIST (Ours-Li)Scale=4x2024.080.0033——
OmniSRScale=4x2024.080.0034——
NGSwinScale=4x2024.080.0035——
IMDNScale=4x2024.080.0038——
SR3Scale=x22024.060.016135.110.9682
BI-DiffSRScale=x22024.060.017233.990.9601
BBCUScale=x22024.060.027232.880.9508
XNORScale=x22024.060.032631.990.9428
ReActNetScale=x22024.060.037932.160.9441
SeDGenerator Backbone=SwinIR, Discriminator Architecture=PatchGAN + SeD2024.020.04430.480.896
SeDGenerator Backbone=SwinIR, Discriminator Architecture=U-Net + SeD2024.020.04530.580.898
SeDGenerator Backbone=RRDB, Discriminator Architecture=U-Net + SeD2024.020.04730.460.897
LDLGenerator Backbone=SwinIR2024.020.04730.140.888
SeDGenerator Backbone=RRDB, Discriminator Architecture=PatchGAN + SeD2024.020.04829.990.888
PatchGANGenerator Backbone=SwinIR, Discriminator Architecture=PatchGAN2024.020.04830.180.895
U-NetGenerator Backbone=SwinIR, Discriminator Architecture=U-Net2024.020.04929.990.889
DualFormerGenerator Backbone=RRDB2024.020.05329.90.886
LDLGenerator Backbone=RRDB2024.020.05529.410.875
U-NetGenerator Backbone=RRDB, Discriminator Architecture=U-Net2024.020.05629.490.882
PatchGANGenerator Backbone=RRDB, Discriminator Architecture=PatchGAN2024.020.05828.60.872
USRGANGenerator Backbone=USRGAN2024.020.06328.750.872
SR3Scale=x42024.060.064628.770.8854
ESRGANGenerator Backbone=ESRGAN2024.020.06528.410.859
SFTGANGenerator Backbone=SFTGAN2024.020.07228.170.856
BI-DiffSRScale=x42024.060.088926.950.8548
BicubicScale=x22024.060.102530.820.9349
BBCUScale=x42024.060.149623.020.7966
XNORScale=x42024.060.155923.840.7839
ReActNetScale=x42024.060.172125.320.7854
IRNetScale=x22024.060.18223.890.7621
BicubicScale=x42024.060.32124.90.7876
DoReFaScale=x22024.060.504712.350.4609
BNNScale=x22024.060.74899.290.3035
IRNetScale=x42024.060.835411.820.2442
BNNScale=x42024.061.01178.960.1833
DoReFaScale=x42024.061.11697.520.1464