Devising indicative evaluation metrics for the image generation task remains an open
problem. The most widely used metric for measuring the similarity between real and
generated images has been the Frechet Inception Distance (FID) score. Since it does not
differentiate the fidelity and diversity aspects of the generated images, recent papers have
introduced variants of precision and recall metrics to diagnose those properties separately.
In this paper, we show that even the latest version of the precision and recall metrics are not …

Devising indicative evaluation metrics for the image generation task remains an open
problem. The most widely used metric for measuring the similarity between real and
generated images has been the Fréchet Inception Distance (FID) score. Because it does not
differentiate the fidelity and diversity aspects of the generated images, recent papers have
introduced variants of precision and recall metrics to diagnose those properties separately.
In this paper, we show that even the latest version of the precision and recall metrics are not …