Rethinking FID
Rethinking FID: A Better Evaluation Metric for Image Generation
CommonProductImageImage GenerationEvaluation Metric
This paper proposes a new metric for evaluating image generation models. It highlights the issues with the Frechet Inception Distance (FID) metric and introduces a new metric called CMMD. Extensive experiments demonstrate that the FID metric may be unreliable for evaluating text-to-image models, while the CMMD metric can more reliably assess image quality.
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