Training Generative Adversarial Networks from Incomplete Observations using Factorised Discriminators

Daniel Stoller, Sebastian Ewert, Simon Dixon

Generative adversarial networks (GANs) have shown great success in applications such as image generation and inpainting. However, they typically require large datasets, which are o…