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As the paper state, StyleGAN2 use non-saturating loss and overfitting heuristics rt is defined as rt=E[sign(Dtrain)]. My question is if i switch to a different GAN, such as LSGAN or Vanilla GAN, whose loss is not non-saturating loss, can I still use the rt defined above? Do I need to make appropriate modifications to rt?
The text was updated successfully, but these errors were encountered:
As the paper state, StyleGAN2 use non-saturating loss and overfitting heuristics rt is defined as rt=E[sign(Dtrain)]. My question is if i switch to a different GAN, such as LSGAN or Vanilla GAN, whose loss is not non-saturating loss, can I still use the rt defined above? Do I need to make appropriate modifications to rt?
The text was updated successfully, but these errors were encountered: