A Domain Agnostic Measure for Monitoring and Evaluating GANs

Paulina Grnarova, Kfir Y. Levy, Aurelien Lucchi, Nathanael Perraudin, Ian Goodfellow, Thomas Hofmann, Andreas Krause

Neural Information Processing Systems 

Exten-sive experiments show the effectiveness of this measure to rank different GANmodels and capture the typical GAN failure scenarios, including mode collapse andnon-convergentbehaviours.

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