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Published 20 hours ago • verified publisher icon mhw32

Not getting similar results as reported in the paper

Open ry85 opened this issue 5 years ago • 4 comments

Code is not working for celeba. I am not able to obtain the results as reported in the paper. The image reconstruction and random sample generation both are of worse quality. Looks like model is not getting trained properly. Can you please provide correct running implementation.

ry85 avatar Sep 03 '19 08:09 ry85

I can confirm that the model does not converge for the MNIST datasets either. This is the training curve for basic MNIST, trained with the default parameters. MNIST_loss

gabinsane avatar Sep 09 '19 15:09 gabinsane

Code is not working for celeba. I am not able to obtain the results as reported in the paper. The image reconstruction and random sample generation both are of worse quality. Looks like model is not getting trained properly. Can you please provide correct running implementation.

Me too, did you try the code in the bugfix branch?

liuyangdh avatar Jan 20 '20 17:01 liuyangdh

Code is not working for celeba. I am not able to obtain the results as reported in the paper. The image reconstruction and random sample generation both are of worse quality. Looks like model is not getting trained properly. Can you please provide correct running implementation.

Me too, did you try the code in the bugfix branch?

Yes, I have tried that. Its even worst, giving NaN in the first epoch itself.

ry85 avatar Mar 04 '20 06:03 ry85

Code is not working for celeba. I am not able to obtain the results as reported in the paper. The image reconstruction and random sample generation both are of worse quality. Looks like model is not getting trained properly. Can you please provide correct running implementation.

Me too, did you try the code in the bugfix branch?

Yes, I have tried that. Its even worst, giving NaN in the first epoch itself.

did you manage to figure out what is the problem? I also got NAN when running code in fix branch

poonehmousavi avatar May 11 '22 11:05 poonehmousavi