Seungkyu Lee

Mode Penalty Generative Adversarial Network with adapted Auto-encoder

2020 · arXiv (Cornell University)

Generative Adversarial Networks (GAN) are trained to generate sample images of interest distribution. To this end, generator network of GAN learns implicit distribution of real data set from the classification with candidate generated samples. Recently, …