Questions tagged [discriminator]

For questions related to the discriminator component of GANs.

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Is discriminator a regressor or classifier in implementations?

GAN has two components: generator and discriminator. Discriminator in the original GAN is a regressor and always gives value in $[0, 1]$. You can read it in original paper $D(x)$ represents the ...
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2answers
477 views

What is Lipschitz constraint and why it is enforced on discriminator?

The following is the abstract for the research paper titled Improved Training of Wasserstein GANs Generative Adversarial Networks (GANs) are powerful generative models, but suffer from training ...
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1answer
35 views

Why does this paper say that the Nash-equilibrium of GAN is given by a discriminator which is 0 everywhere on the data distribution?

I am facing difficulty in understanding the bolded portion of the following statement from this paper GANs are defined by a min-max two-player game between a discriminative network $D_\Psi(x)$ and ...
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21 views

Why does the relativistic discriminator increase the probability that generated data are real and decrease the probability that real data are real?

I was reading the ESRGAN whitepaper, where I came across this line: Relativistic discriminator [2] is developed not only to increase the probability that generated data are real but also to ...
3
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1answer
63 views

How to define loss function for Discriminator in GANs?

To train the discriminator network in GANs we set the label for the true samples as $1$ and $0$ for fake ones. Then we use binary cross-entropy loss for training. Since we set the label $1$ for true ...
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0answers
67 views

Training Conditional DCGAN with GAN-CLS loss

I am trying to implement conditional GAN using GAN-CLS loss as described in paper: https://arxiv.org/abs/1605.05396 So, while training discriminator, I should I have three batches of data: [...
2
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1answer
60 views

GANs: Should Generator update weights when Discriminator says false continuously

My GANs is like this: Train an autoencoder (VAE), get the decoder part and use as Generator Train Discriminator After training, do the generation in these steps: Call Generator to generate an image ...