Ziqian Luan

CLR-GAN: Improving GANs Stability and Quality via Consistent Latent Representation and Reconstruction

"Generative Adversarial Networks(GANs) have received considerable attention due to its outstanding ability to generate images. However, training a GAN is hard since the game between the Generator(G) and the Discriminator(D) is unfair. Towards making the competition fairer, we propose a new perspecti…