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Trying to understand the training on LSUN dataset with multi-class labels #2

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prash030 opened this issue Nov 1, 2018 · 2 comments

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@prash030
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prash030 commented Nov 1, 2018

Hi @ptrblck ,
Thanks for this implementation!

I have a question, and I was wondering if I can get your thoughts: The paper mentions that their training is unsupervised - meaning that it was not label-conditioned. Then how come they were able to generate label-specific images for LSUN dataset? Did they train separate networks for each label or is their network a multi-class generator?

Thanks in advance!

@ptrblck
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ptrblck commented Nov 3, 2018

Hi @cardyfib,

as far as I know, they used label-specific images and trained separate models for each label.
You can find some of the LSUN classes in Tero Karras' Google Drive.

Best,
ptrblck

@prash030
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prash030 commented Nov 5, 2018

Thank you!

@prash030 prash030 closed this as completed Nov 5, 2018
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