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Improving MMD-GAN Training with Repulsive Loss Function

ICLR 2019 · Image generation › GANs · approach: Stabilized GAN training · 42 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Replace the attractive discriminator loss with the repulsive lossMMD-GAN · CIFAR-10FID: 28.38 -> 16.65Helped
Replace the attractive discriminator loss with the repulsive lossMMD-GAN · STL-10FID: 57.52 -> 36.67Helped
Replace the attractive discriminator loss with the repulsive lossMMD-GAN · CelebAFID: 13.03 -> 7.20Helped
Replace the attractive discriminator loss with the repulsive lossMMD-GAN · LSUN bedroomFIDHelped
Use a bounded RBF kernel instead of the five-kernel attractive MMD-rbf setup (ablation)MMD-GAN · CIFAR-10FID: 28.38 -> 25.25Helped
Use a bounded RBF kernel instead of the five-kernel attractive MMD-rbf setup (ablation)MMD-GAN · STL-10FID: 57.52 -> 51.86Helped
Use a bounded RBF kernel instead of the five-kernel attractive MMD-rbf setup (ablation)MMD-GAN · CelebAFID: 13.03 -> 10.09Helped
Add the bounded RBF kernel to the repulsive loss (ablation)MMD-rep · CIFAR-10FID: 16.65 -> 16.21Helped
Add the bounded RBF kernel to the repulsive loss (ablation)MMD-rep · STL-10FID: 36.67 -> 37.63Hurt
Add the bounded RBF kernel to the repulsive loss (ablation)MMD-rep · CelebAFID: 7.20 -> 6.79Helped
Add the bounded RBF kernel to the repulsive loss (ablation)MMD-rep · LSUN bedroomFID: 16.91 -> 12.52Helped
Increase the discriminator-loss parameter from -1 to -0.5 (ablation)MMD-GAN with RBF kernel · CIFAR-10FIDHelped

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