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Image Generation on FFHQ 256x256 (test)

1.68FIDStyleSAN-XL
0.119610.652321.18531.7177Apr 6, 2021Feb 9, 2022Dec 16, 2022Oct 22, 2023Aug 27, 2024Jul 3, 2025May 9, 2026

Evaluation results

MethodLinks
StyleSAN-XLNFE=1, ImageNet feature leakage=true2025.011.68———————
StyleNATDistillation=None2026.052.17————6.3169.838.3
StyleGAN-XLparams (M)=67.9, Inference Time (sec/img)=0.0472023.032.19———————
StyleGAN-XLNFE=1, ImageNet feature leakage=true2025.012.19———————
StyleNAT+SDDistillation=SD2026.052.27————4.2267.636.7
Poly-INRparams (M)=13.6, Inference Time (sec/img)=0.0542023.032.72———————
PolyINRNFE=1, ImageNet feature leakage=true2025.012.72———————
R3GAN (Ours-Config E)NFE=1, ImageNet feature leakage=false2025.012.75———————
ProjectedGAN+SDDistillation=SD2026.053.15————14.166.645.2
ProjectedGAN+SDL1Distillation=SDL12026.053.35————34.466.944.6
StyleGAN2-ADA+SDL1Distillation=SDL12026.053.46————4.5167.946.9
StyleGAN2-ADA+SDDistillation=SD2026.053.5————1.1867.844
StyleGAN2NFE=1, ImageNet feature leakage=false2025.013.78———————
StyleGAN2params (M)=30.0, Inference Time (sec/img)=0.0162023.033.83———————
ProjectedGANDistillation=None2026.053.9————79.366.243.9
StyleGAN3-RNFE=1, ImageNet feature leakage=false2025.013.92———————
StyleGAN2-ADADistillation=None2026.054————1.5869.239.9
CIPSparams (M)=45.9, Inference Time (sec/img)=0.0672023.034.38———————
Original Full-Size StyleGAN2Hardware=V100 GPU, Img. Size=256, Backbone=StyleGAN22021.044.511.09——————
StyleGAN3-TNFE=1, ImageNet feature leakage=false2025.014.81———————
INR-GANparams (M)=72.4, Inference Time (sec/img)=0.0242023.034.95———————
LDMNFE=200, ImageNet feature leakage=false2025.014.98———————
Diffusion AutoencoderNFE=500, ImageNet feature leakage=false2025.015.81———————
Ours-CAHardware=V100 GPU, Img. Size=256, Backbone=StyleGAN22021.047.92.67——————
ADM (DPM-Solver)NFE=500, ImageNet feature leakage=false2025.018.4———————
ADM (DDIM)NFE=500, ImageNet feature leakage=false2025.018.41———————
LFRNFE=12026.018.75——0.00414.41———
LFRNFE=102026.018.78——0.0044.39———
DFRNFE=102026.018.99——0.00484.51———
DFRNFE=12026.019.04——0.00494.54———
FMRefiner2026.019.27——0.00474.48———
DiffuseVAE2026.019.32——0.00544.48———
Base2026.019.47——0.00494.44———
GSHardware=V100 GPU, Img. Size=256, Backbone=StyleGAN2, Implementation=Our Impl.2021.0412.42.81——————
Full AttentionBackbone=DiT-S, Training Epochs=102025.1238.77—61.64—————
LLSABackbone=DiT-S, Training Epochs=10, Top-K value=82025.1239.29—375.34—————
SLABackbone=DiT-S, Training Epochs=10, Top-K value=322025.1239.98—304.85—————
VSABackbone=DiT-S, Training Epochs=10, Top-K value=322025.1240.69—341.94—————