Hello everyone!

I’m just wondering whether someone had already tried to use a pre-trained classifier or other kind of neural network as part of or as a starting point for the discriminator of a GAN. I thought maybe it could help stabilize or speed up training, specially if you freeze the first layers (it’d be a mix of the perceptual loss and the adversarial loss I guess?)

Tried to search a little on Google Scholar or Arxiv and couldn’t find anything. Has this been done before? What do you think of this idea?