When reading the Progressive growing of gans by Karras at Nvidia they claim that they get good representations on an cifar10 unconditionally trained. I thought mode collapse for multiclass datasets was still mostly unsolved for gans. Is this partially solved with their models or am I missing something? Why is this considered such a hard problem and how does their results relate to the area?