Xianfang Gu

AE-OT-GAN: Training GANs from data specific latent distribution

Though generative adversarial networks (GANs) are prominent models to generate realistic and crisp images, they are unstable to train and suffer from the mode col-lapse/mixture. The problems of GANs come from approximating the intrinsic discontinuous distribution transform map with continuous DNNs.…