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Topology Distance: A Topology-Based Approach for Evaluating Generative Adversarial Networks

AAAI 2021 · Image generation › GANs · approach: Stabilized GAN training · 10 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use Topology Distance instead of FID or KID to compare a Gaussian with a two-Gaussian mixture having the same first and second momentsGAN evaluation metrics · Synthetic Gaussian distributionsdistribution discriminationHelped
Use Topology Distance instead of FID or KID to evaluate increasingly corrupted imagesGAN evaluation metrics · CelebA manipulated imagesconsistency with image-quality degradationHelped
Use Topology Distance instead of Geometry Score to measure perturbation severityGAN evaluation metrics · CIFAR100-Cperturbation-severity consistencyHelped
Use Topology Distance instead of Inception Score to track generated-image qualityGAN evaluation metrics · CelebAcorrelation with generated-image qualityHelped
Use learned features instead of raw pixels to compute Topology Distance (ablation)Topology Distance · Fashion-MNIST and CIFAR10discrimination and consistencyHelped
Use Topology Distance instead of Geometry Score to distinguish a Gaussian from a two-Gaussian mixtureGAN evaluation metrics · Synthetic Gaussian distributionsdistribution discriminationHelped

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