Note that DCGAN (or standard GAN generally) doesn't have an encode path (or any other way to easily condition generation) so it is not well suited to this particular task. The image quality is stellar though, and I linked to several recent papers above which combine a GAN approach with an explicit encode. This should allow them to be used for the kinds of things in this link.