Comments (4)
from wassersteingan.
hi, @sz128 . I have the same questions. Have you figured it out?
from wassersteingan.
See #9
from wassersteingan.
@martinarjovsky , thanks!
from wassersteingan.
Related Issues (20)
- After training the model, how to generate Test samples using the generator?
- Where can I find bibtex of Wasserstein GAN and related works? HOT 1
- Why have a tensor of 1 or -1 in loss.backward()? HOT 1
- Problems with the optimization of loss. HOT 4
- cifar10 result not good as expect ! HOT 7
- how to train a 256*128 image dataset and output 256*128 result? HOT 3
- Results on cifar10 very bad even if trained for over 1000 epochs HOT 1
- The parameter ‘db_path' of LSUN setting in 'main.py' should be changed to 'root'
- Results cannot be reproduced. HOT 2
- module name can\'t contain "." HOT 1
- Inconsistent loss function from the paper? HOT 8
- No convergence in onw dataset
- No sigmoid activation for G on MLP?
- should the gamma and beta on batchnormalization layer be clipped?
- some problem when running the WassersteinGAN HOT 1
- Interpreting Generator and Critic loss HOT 1
- How can I use a loss as the stopping criteria in Wasserstein GAN?
- Why did not tell the label to the discriminator
- Generator update HOT 1
- I cannot find the calculating or estimating of wasserstein distance! HOT 3
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from wassersteingan.