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Face Super-Resolution on CelebA (test)

1SSIMGT
0.61520.71510.8150.9149Jun 25, 2020May 27, 2021Apr 29, 2022Mar 31, 2023Mar 2, 2024Feb 1, 2025Jan 4, 2026

Evaluation results

MethodLinks
GTScale=N/A2021.011—0—4.292———43.430—
SwinIFSUpscaling factor=8x2026.010.851327.970.072————————
DICUpscaling factor=8x2026.010.810927.350.0902————————
W-NetUpscaling factor=8x2026.010.801427.40.076————————
SPARNetUpscaling factor=8x2026.010.796527.290.1088————————
UFSRNetUpscaling factor=8x2026.010.788727.10.1102————————
HCFlow+#Param=27.0M, Temperature (τ)=02021.080.7827.020.21253.956.0449.5—0——51.11
SISNUpscaling factor=8x2026.010.778626.830.1044————————
FSRNetUpscaling factor=8x2026.010.771426.860.1098————————
RRDBLR Kernel=Bicubic2020.060.7726.590.2348.226.0249.786.50———
RRDB#Param=16.7M2021.080.7726.590.23—6.0249.7—0——48.22
HCFlow#Param=27.0M, Temperature (τ)=02021.080.7726.660.2154.56.4248—0——51.83
WIPAUpscaling factor=8x2026.010.765226.230.0961————————
SRGANUpscaling factor=8x2026.010.762826.630.1043————————
SRFlow#Param=40.0M, Temperature (τ)=02021.080.7626.740.216—5.7440.4—0——56.57
RCANScale=4x, Finetuning status=Finetuned on our training set2021.010.753327.240.4159—9.907———93.6638.45—
MRRNetUpscaling factor=8x2026.010.741725.940.0562————————
SRFlowLR Kernel=Bicubic, tau=0.82020.060.7125.240.1150.854.223.2245.21———
SRFlowLR Kernel=Progressive linear, tau=0.82020.060.7125.20.1151.054.222.523.15.28———
SRFlow#Param=40.0M, Temperature (τ)=0.82021.080.7125.240.11—4.223.2—5.2——50.85
HCFlow#Param=27.0M, Temperature (τ)=0.82021.080.7124.990.10454.54.3431.6—5.9——51.81
Super-FANScale=4x, Finetuning status=Not specified2021.010.703325.280.4791—10.828———139.4949.14—
BicubicScale=4x, Finetuning status=Not specified2021.010.698525.3770.4834—10.767———148.8749.6—
HCFlow++#Param=27.0M, Temperature (τ)=0.82021.080.6924.830.0951.823.8723.8—4——51.57
BicubicUpscaling factor=8x2026.010.677623.460.2699————————
GFP-GANScale=4x, Finetuning status=Not specified2021.010.674425.040.3653—4.078———42.3634.67—
ProgFSRLR Kernel=Progressive linear2020.060.6723.970.12941.953.4928.633.20———
ESRGANScale=4x, Finetuning status=Finetuned on our training set2021.010.631923.740.4127—4.099———49.251.21—
BicubicLR Kernel=Bicubic2020.060.6323.150.51735.197.8258.699.970———
ESRGANLR Kernel=Bicubic2020.060.6322.880.1234.043.4623.732.40———
Bicubic2021.080.6323.150.517—7.8258.6—0——35.19
ESRGAN#Param=16.7M2021.080.6322.880.12—3.4623.7—0——34.04