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Reproducing FID values of CIFAR and CELEBA after performing expost density estimation #11

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amruz opened this issue Apr 15, 2021 · 2 comments

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@amruz
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amruz commented Apr 15, 2021

Hi,
Really interesting work!
I am having trouble in reproducing the results for CIFAR/CELEBA images in table 1 for RAE versions. For MNIST I was able to reproduce the results, but for other two datasets I am getting high FID and nowhere around the reported values. Do you have any suggestions regarding what I did wrong? (I also trained from scratch and then tried with the uploaded autoencoder trained models (*.h5_best) as well)

Thanks in advance!

@amruz amruz closed this as completed Apr 15, 2021
@amruz amruz reopened this May 25, 2021
@amruz
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amruz commented May 25, 2021

Hi,
Really interesting work!
I am having trouble in reproducing the results for CIFAR/CELEBA images in table 1 for RAE versions. For MNIST I was able to reproduce the results, but for other two datasets I am getting FID about 60 for CELEBA and 90 for CIFAR and is nowhere around the reported values. Do you have any suggestions regarding what I did wrong? (I also trained from scratch and then tried with the uploaded autoencoder trained models (*.h5_best) as well)

Thanks in advance!

@1994cxy
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1994cxy commented May 26, 2021

Hi,
Could you please share your requirements.txt since I use the requirements in the project and got lots of error with six and keras backend. I use the Tensorflow==1.5.0 along with the Keras==2.3.1 and six=1.12.0

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