KANCHARLA PARIMALA

Quality Aware Generative Adversarial Networks

Generative Adversarial Networks (GANs) have become a very popular tool for im- plicitly learning high-dimensional probability distributions. Several improvements have been made to the original GAN formulation to address some of its shortcom- ings like mode collapse, convergence issues, entanglement,…