Kernel inception distance (KID)

Kernel inception distance (KID) is a statistical measure used to evaluate the similarity between two sets of images, commonly applied in generative adversarial network (GAN) research to assess image quality. It compares feature representations using polynomial kernels on activations from a pretrained inception network.

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Inception score (IS)

The Inception score (IS) is a quantitative metric used to evaluate the quality of images generated by generative models, particularly generative adversarial networks (GANs). It measures both the diversity and clarity of generated images by leveraging the output of a pretrained Inception network.

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