Feedback

In the abstract, tell us what "performed in a conditional setting" means.

I don't get the paragraph in the GANs section on loss (the last paragraph in the version I am looking it). You should try to explain why a loss is not needed. (Why isn't the "Is D correct" in the figure providing a loss function?) Later you say (for CGANS) "also to minimize the loss between the generated image and the expected target image" - isn't this the same loss you said doesn't exist? Then you give "loss function for a conventional GAN", so I'm even more confused.

You need to provide an explicit reference for the figures that are not your's on the main page. Ypu don't want anyone to think you are claiming something is your's, when it isn't. Eg. the "High-level structure of a GAN. " figure is not your's.

"However, GANs generate random images in the output domain." is the word "random" used in a informal meaning, or is it saying something about the distribution of images in the output domain? In cases where a statenent can be misunderstood, try to be more accurate in what you mean. (Which is why we ask for feedback; it tells us what can be misunderstood.)

"learns a mapping from x to z" I think should be "learns a mapping from x to y". What is preventing it from still doing that?

Try to give a bigger picture in the Discussion. Are cGANS only useful for image-to-image translation tasks? What else could they be used for? Why would anyone who is not interested in image-to-image translation tasks be interested in them?