-
I used your code, and get negative D_loss value. I thought that it would converge to a positive value close to 0, but negative values do not matter? Thanks.
-
It seems that the authors of this paper no longer maintain their code.
Could anyone share an updated version of this code?
It will help us a lot. Thanks!!!
ylmao updated
5 years ago
-
I tried to implement a discriminator of WGAN-GP via SRU but failed with this error.
-
when i **python gan_mnist.py** show some errors,can anyone solve the problem?Thank you very much.
`Traceback (most recent call last):
File "gan_mnist.py", line 107, in
fake_data = Generator(…
-
Your spectral normalization normalizes the spectral norm of the weight matrix W so that it satisfies the Lipschitz constraint = 1. So we consider whether to combine the wasserstein gan with spectral n…
-
Hi,
I am a little confused about taking only the zero index of gradient tensor in the penalty function:
`gradients = autograd.grad(outputs=disc_interpolates, inputs=interpolates, grad_outputs=to…
-
Hi, I am running the gan_toy.py on python3, and I got some problems like below, I don't know if this happens only because I am running the code on a different version of python or lack of gpu. Please …
-
Hi, while reading the paper, it proposed an optionally choice to concatenate the representaion with noise v. In your code, a dcgan_generator is used to generate noise v, while the output size is [*,32…
-
beta-VAE is also very good ref : http://openreview.net/forum?id=Sy2fzU9gl
Learning an interpretable factorised representation of the independent data gen- erative factors of the world without super…
-
### 論文へのリンク
[[arXiv:1906.01529] Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy](https://arxiv.org/abs/1906.01529)
### 著者・所属機関
Zhengwei Wang, Qi She, Tomas E. Ward
…