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Hi, I am a student and would like to use your code for research purposes, but I can't get the code to work.
When running "%run train.py -use_cuda -total_steps 1000" I get an error: "AssertionError:…
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## 🚀 Feature
Add support for the "Earth Mover's Distance" (EMD) or "Wasserstein metric".
### Motivation
The EMD is a distance metric between two probability distributions. It gained a lot of …
zilto updated
4 months ago
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> The ‘frequency’ value is an int corresponding to the number of sequential batches optimized with the specific optimizer. It should be given to none or to all of the optimizers. There is a difference…
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Please check whether this paper is about 'Voice Conversion' or not.
## article info.
- title: **Statistical Parametric Speech Synthesis Incorporating Generative
Adversarial Networks**
- summary: A…
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**Is your feature request related to a problem? Please describe.**
I don't see any models related to diffusion-GAN in diffusers library.
**Describe the solution you'd like.**
Is there a plan to s…
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Hello,
Is it possible to build in the Wasserstein loss for pix2pix?
Maybe someone already has the code?
Thank you.
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Hi,
in the gradient_penalty function in the WGAN class, alpha is sampled from a normal distribution (tf.random.normal) with mean 0.0 and std 1.0.
In the "Improved Training of Wasserstein GANs" p…
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#Is there a more efficient method to train discriminator for 5 times and the
#generator for only one time?
def configure_optimizers(self):
genOptim=optim.Adam(self.Generator.parameters(),lr=s…