A new information-theoretic evaluation metric (PCE, RCE, RE) is proposed to separately detect fidelity loss, mode dropping, and mode shrinkage in generative models, and existing kNN precision/recall metrics are unified as divergence estimators.
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A Unifying Information-theoretic Perspective on Evaluating Generative Models
A new information-theoretic evaluation metric (PCE, RCE, RE) is proposed to separately detect fidelity loss, mode dropping, and mode shrinkage in generative models, and existing kNN precision/recall metrics are unified as divergence estimators.