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igul222 / improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"
MIT License
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Same image is produced when input size is 1 #22

Open VigneshSrinivasan10 opened 7 years ago

VigneshSrinivasan10 commented 7 years ago

Hi,

Thanks for sharing this repo. For my experiments, I used the gan_cifar.py and trained it for 50k iterations on wgan mode and am able to generate varied images. On the other hand, when I give a size of (1,128) for the input vector, and randomly sample from a normal distribution, the same sample is produced no matter the input.

Any idea why this would happen or directions to solving this issue would be great.

Thanks in advance!