6174c67b136621f3f2e4a6b1d3286f6b-Supplemental-Conference.pdf

We first discuss the broader impact of the proposed DynamicD inSec. D presents the training dynamics for the further analysis. E also conducts qualitative experiments to verify whether our approach memorizes the real images for extremely limited data. F shows the hyper-parameter analysis. It demonstrates the importance of discriminator in the two-player competition as simply adjusting the capacity could lead tosuch significant improvements on avarietyof settings, making training generative models more accessible to everyone.