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Intro
What are your thoughts on the Progressively Growing GAN paper?
How can PacGAN improve results?
Is there a way to quantify how stable your approach is?
How can PacGAN help in conditional generation?
What is the discriminator learning?
How is mode collapse defined?
What are type 1 and type 2 errors in hypothesis testing?
Is there a fundamental trade-off between quality and diversity?
Conclusion