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cuiaiyu avatar cuiaiyu commented on June 3, 2024 1

I am not sure if we are allowed to share the data that GFLA's authors shared with us. You may want to reach out to GFLA's authors for this. :)

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cuiaiyu avatar cuiaiyu commented on June 3, 2024

It seems a training set downsampling/compression problem. when computing FID statistics, GFLA seemingly uses a set of special parameters to preprocess the training/validation set. To reproduce GFLA result and to enable a fair comparison, GFLA's author kindly shared their training set and validation set (with preprocessed downsampling) with us, and that's how we get our numbers for 256x256.

We also get the better set of results (12.25 for us and 9.87 for GFLA) as yours by directly loading the highres images and downsampling by bilinear to compute the FID statistics.

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rishabhjain9619 avatar rishabhjain9619 commented on June 3, 2024

Thanks for the quick reply. Can you share the code for downsampling the images or the post-processed images?

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rishabhjain9619 avatar rishabhjain9619 commented on June 3, 2024

Sure, no issues, thanks for the clarifications

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