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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!
The text was updated successfully, but these errors were encountered:
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)
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
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!
The text was updated successfully, but these errors were encountered: