On Leveraging Pretrained GANs for Generation with Limited Data

Miaoyun Zhao, Yulai Cong, Lawrence Carin

Abstract: Recent work has shown generative adversarial networks (GANs) can generate highly realistic images, that are often indistinguishable (by humans) from real images. Most images so generated are not co...