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