Papers
arxiv:2009.14075
Backpropagating through Fréchet Inception Distance
Published on Sep 29, 2020
Abstract
FastFID efficiently trains generative models by using FID as a loss function, improving their FID scores.
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The Fréchet Inception Distance (FID) has been used to evaluate hundreds of generative models. We introduce FastFID, which can efficiently train generative models with FID as a loss function. Using FID as an additional loss for Generative Adversarial Networks improves their FID.
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