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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?

SANJAY BHANDARI
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  • 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. – Community Oct 12 '22 at 08:53

1 Answers1

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For anyone looking for answer, as explained in Paper: The relativistic discriminator: a key element missing from standard GAN!,

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.

SANJAY BHANDARI
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