In this paper, we propose to regularize ill-posed inverse problems using...
Image super-resolution is a one-to-many problem, but most deep-learning ...
In this paper, we introduce a Wasserstein patch prior for superresolutio...
In this work, we propose a framework to learn a local regularization mod...
The use of optimal transport cost for learning generative models has bec...