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

10 Feb 2019

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) theory into GANs, by minimizing the $1$-Wasserstein distance between model and data distributions as their objective function... (read more)

PDF Abstract

# Code Add Remove Mark official

No code implementations yet. Submit your code now