In this blog, we introduce ComicGAN, a novel text-to-comic pipeline based on a text-to-image GAN that synthesizes comics according to text.

In this blog, we discuss how TimeGAN can be optimized in terms of training time and cost.

In this blog, Generative Adversarial Networks in combination with Differential Privacy is proposed to share valuable time-series datasets.