Backpropagating through Fr\'echet Inception Distance

• URL: http://arxiv.org/abs/2009.14075v2
• Date: Wed, 14 Apr 2021 16:01:12 GMT
• Title: Backpropagating through Fr\'echet Inception Distance
• Authors: Alexander Mathiasen, Frederik Hvilsh{\o}j
• Abstract summary: FastFID can efficiently train generative models with FID as a loss function. Using FID as an additional loss for Generative Adversarial Networks improves their FID.
• Score: 79.81807680370677
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The Fr\'echet 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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