Comments (3)
@hbarovertwo,
Thanks for your issue (why sorry? 😄). Our research was mainly focused on the unconditional setting of Image generation so, we never added the conditional settings to this code.
But, please refer to the this portion of my pro_gan_pytorch
code -> here
This might be helpful for you to code it. The BMSG-GAN code was written using the pro_gan_pytorch
as the base code.
Also note that this version (pro_gan_pytorch
) assumes scalar labels and uses the projection mechanism for modeling the conditional information. You'd probably have to use the concatenation based mechanism for vector conditioning labels.
Hope this helps.
Please feel free to ask if you have any other questions.
Cheers 🍻!
@akanimax
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Thanks for the help! Mainly if I can figure out a solution that scales, that will be great. I will let you know when I run into more questions about it. And I am using your latest release, BBMSG-GAN :)
from bmsg-gan.
There hasn't been any activity here for a long time.
So, closing this issue. Please feel free to comment if there are any problems 👍
from bmsg-gan.
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