It seems that you can give a GAN anything , and tell it to do anything.
(for eg. from noise it can generate faces, provided you have a few thousand faces to allow the discriminator to do its job)
I was thinking of giving a GAN a patch of a person’s face (probably the top area ,and everything else blacked out), and the model’s task is to complete the rest of the face.
My understanding of GANs is not very good , but isnt this task exactly what Jeremy should us for the CIFAR using WGAN ?
The only thing that will change is inputs and outputs. Am I missing something or is this really just it ?