Evaluating Lossy Compression Rates of Deep Generative Models

ICML, pp. 4444-4454, 2020.

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We found that different Generative Adversarial Networks variants with the same code size have nearly identical rate distortion curves, and that the code size dominates the algorithmic differences of GANs

Abstract:

The field of deep generative modeling has succeeded in producing astonishingly realistic-seeming images and audio, but quantitative evaluation remains a challenge. Log-likelihood is an appealing metric due to its grounding in statistics and information theory, but it can be challenging to estimate for implicit generative models, and sca...More

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