(q,p)-Wasserstein GANs: Comparing Ground Metrics for Wasserstein GANs

Anton Mallasto, Jes Frellsen, Wouter Boomsma +1

Generative Adversial Networks (GANs) have made a major impact in computer vision and machine learning as generative models. Wasserstein GANs (WGANs) brought Optimal Transport (OT)…