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[D] are multiclass unconditional GANs an open problem?

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?

submitted by /u/mesmer_adama
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.