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FID discrepancy #30

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IFeelBloated opened this issue Aug 3, 2023 · 3 comments
Open

FID discrepancy #30

IFeelBloated opened this issue Aug 3, 2023 · 3 comments

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@IFeelBloated
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The stylegan2 FID on FFHQ reported in the paper (4.41) is significantly worse than the official evaluation (2.70), is there an explanation for this?

@Zhendong-Wang
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We trained the model on FFHQ(1024x1024, 70k). The performance matches with the values 5.28/4.30 reported in the Figure 7 of ADA paper, "Training Generative Adversarial Networks with Limited Data".

@IFeelBloated
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so all models didn't use horizontal flip?

@Zhendong-Wang
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Sorry that I missed the email notification. x-flip is applied. ADA contains flip and rotation in the augmentation.

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