Comments (5)
Currently, CoGAN is under development! Almost done, but it'll not work properly, in now :(
I'll fix CoGAN ASAP! (I'll leave a comment when i'm done finishing CoGAN :))
Also, you can check available GAN models in Papers & Codes
Section in README.md!
Thank you :)
from awesome-gans.
CoGAN fixed! Now, it works well :) (now running on my machine).
After running it, I'll upload results on CoGAN page.
from awesome-gans.
Thank you for fixing the issue. I was able to run it, but the image generation is not good. It seems nothing is getting generated. It's on the 75,000 step. I left it training for more steps to see if it improves the image quality. Are you facing the same issue?
from awesome-gans.
Yes, me too, facing same issue :(. But i just found the problems!
Now, i'm on fixing the bugs, So it'll be updated soon!.
This time, I'll notice you by comment after checking the whole CoGAN results :).
Thanks again :)
from awesome-gans.
I'll close this issue :). If there're any questions, please re-open an issue!
Thank you
from awesome-gans.
Related Issues (20)
- GAN image generation problem HOT 1
- run srgan on my own photo HOT 2
- Migrate LGTM.com installation from OAuth to GitHub App
- PGGAN generator has some bug? HOT 2
- Update Awesome-GAN with new lists HOT 4
- [rework] rework w/ paper list HOT 3
- [rework] rework the baseline code, tensorflow 1.x to pytorch HOT 4
- [rework] rework the code quality HOT 1
- [rework] rework visual methods HOT 2
- [feature] pip
- Figure out CGAN's condition label HOT 1
- Incorrect conjugate function in f-GAN implementation
- infoGAN list_attr_celeba.txt
- out of memory error HOT 6
- Performance issue in /awesome_gans/pggan (by P3) HOT 1
- Following instructions in README.md to train a GAN does nothing
- DataSet Processing Stuffs
- Coverage with tfutil.py
- Re-Run all GAN codes... HOT 1
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