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McGan: Mean and Covariance Feature Matching GAN

ICML 2017 · Image generation › GANs · approach: Generative adversarial network theory · 25 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use covariance feature matching instead of WGAN's mean matchingMcGAN · CIFAR-10, conditional (+L)inception score: 3.24 $\pm$ 0.02 -> 7.29 $\pm$ 0.06Helped
Use covariance feature matching instead of WGAN's mean matchingMcGAN · CIFAR-10, unconditional (+L)inception score: 5.21 $\pm$ 0.07 -> 6.97 $\pm$ 0.10Helped
Use covariance feature matching instead of WGAN's mean matchingMcGAN · CIFAR-10, unconditional (-L)inception score: 6.39 $\pm$ 0.07 -> 6.73 $\pm$ 0.04Helped
Add L1 mean matching to covariance matching (ablation)McGAN · CIFAR-10, conditional (+L)inception score: 7.29 $\pm$ 0.06 -> 7.11 $\pm$ 0.04Hurt
Add L1 mean matching to covariance matching (ablation)McGAN · CIFAR-10, unconditional (+L)inception score: 6.97 $\pm$ 0.10 -> 6.93 $\pm$ 0.07No clear effect
Add L1 mean matching to covariance matching (ablation)McGAN · CIFAR-10, unconditional (-L)inception score: 6.73 $\pm$ 0.04 -> 6.42 $\pm$ 0.09Hurt
Add L2 mean matching to covariance matching (ablation)McGAN · CIFAR-10, conditional (+L)inception score: 7.29 $\pm$ 0.06 -> 7.27 $\pm$ 0.04No clear effect
Add L2 mean matching to covariance matching (ablation)McGAN · CIFAR-10, unconditional (+L)inception score: 6.97 $\pm$ 0.10 -> 6.69 $\pm$ 0.08Hurt
Add L2 mean matching to covariance matching (ablation)McGAN · CIFAR-10, unconditional (-L)inception score: 6.73 $\pm$ 0.04 -> 6.35 $\pm$ 0.04Hurt
Vary the number of covariance components from 4 to 64 (ablation)Covariance matching GAN · LFW and LSUN bedroomstraining stability: 4 to 64No clear effect

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