Lessons Learned from the Training of GANs on Artificial Datasets

1 code implementation • 13 Jul 2020 • Shichang Tang

Therefore, in order to conduct a thorough study on GANs while obviating unnecessary interferences introduced by the datasets, we train them on artificial datasets where there are infinitely many samples and the real data distributions are simple, high-dimensional and have structured manifolds.

Attribute Conditional Image Generation