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AdaptiveMix: Improving GAN Training via Feature Space Shrinkage

CVPR 2023 · Image generation › GANs · approach: Stabilized GAN training · 26 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add AdaptiveMix to WGAN trainingWGAN · CIFAR-10Min FID: 55.96 -> 30.85Helped
Add AdaptiveMix to StyleGAN-V2StyleGAN-V2 · AFHQ-Cat-5kFID: 7.737 -> 4.477Helped
Add AdaptiveMix to APAAPA with StyleGAN-V2 · AFHQ-Cat-5kFID: 4.876 -> 4.148Helped
Add AdaptiveMix to StyleGAN-V2StyleGAN-V2 · FFHQ-5kFID: 37.830 -> 18.769Helped
Add AdaptiveMix to APAAPA with StyleGAN-V2 · FFHQ-5kFID: 13.249 -> 11.498Helped
Add AdaptiveMix to DCGAN's WGAN objectiveDCGAN · CelebAFID: 23.51 -> 12.43Helped
Add AdaptiveMix to image classificationWRN-28-10 · CIFAR-10accuracy: 96.11 -> 96.80Helped
Add AdaptiveMix to image classificationPreActResNet-18 · Tiny-ImageNetaccuracy: 57.23 -> 60.59Helped
Add AdaptiveMix to 1DS without Monte Carlo sampling1DS w/o MC · CIFAR-10 / TIN-CF1 score: 0.890 -> 0.922Helped
Set the mixing Beta-distribution parameter α to 2.0 instead of 1.0 (ablation)AdaptiveMix with WRN-28-10 · CIFAR-10accuracy (FGSM 8/255): 74.18 -> 71.27Hurt
Add AdaptiveMix to APA with StyleGAN-V2APA · FFHQ (Full)FID: 3.678 -> 3.609Helped

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