Answers.Body: <p>For anyone looking for answer, as explained in Paper:<a href="https://arxiv.org/abs/1807.00734" rel="nofollow noreferrer"> The relativistic discriminator: a key element missing from standard GAN</a>!,</p>
  <p>Yes,  Standard RaGAN with gradient penalty generate data of better quality than WGAN-GP while only requiring a single discriminator update per generator update (reducing the time taken for reaching the state-of-the-art by 400%).The  images generated by RaGAN are of significantly better quality than the ones generated by WGAN-GP and SGAN with spectral normalization.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2022-10-12T16:27:22.077Z
Answers.LastActivityDate: 2022-10-12T16:28:08.337Z
Answers.LastEditDate: 2022-10-12T16:28:08.337Z
Answers.UserDisplayName: SANJAY BHANDARI
Body: <p>I am currently reading the ESRGAN paper and I noticed that they have used Relativistic GAN for training discriminator. So, is it because Relativistic GAN leads to better results than WGAN-GP?</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2022-10-12T08:53:31.170Z
Comments.Text: Please clarify your specific problem or provide additional details to highlight exactly what you need. As it's currently written, it's hard to tell exactly what you're asking.
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Tags: <convolutional-neural-networks><generative-adversarial-networks><generative-model><wasserstein-gan><image-super-resolution>
Title: Is Relativistic GAN better than WGAN-GP?
UserDisplayName: SANJAY BHANDARI
ThreadText: # Is Relativistic GAN better than WGAN-GP?
  
  (Asked by: username_0 on 2022-10-12)
  
  I am currently reading the ESRGAN paper and I noticed that they have used Relativistic GAN for training discriminator. So, is it because Relativistic GAN leads to better results than WGAN-GP?
  
  **Tags:** convolutional-neural-networks, generative-adversarial-networks, generative-model, wasserstein-gan, image-super-resolution
  > **Comments:**
  > **username_1**: Please clarify your specific problem or provide additional details to highlight exactly what you need. As it's currently written, it's hard to tell exactly what you're asking.  
  
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  ## 1 answers
  
  ### Answer by username_0 on 2022-10-12. Score: 1
  
  For anyone looking for answer, as explained in Paper: [The relativistic discriminator: a key element missing from standard GAN](https://arxiv.org/abs/1807.00734)!,
  
  Yes, Standard RaGAN with gradient penalty generate data of better quality than WGAN-GP while only requiring a single discriminator update per generator update (reducing the time taken for reaching the state-of-the-art by 400%).The images generated by RaGAN are of significantly better quality than the ones generated by WGAN-GP and SGAN with spectral normalization.
  
  
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