Regularization via deep generative models: an analysis point of view

Thomas Oberlin, Mathieu Verm

This paper proposes a new way of regularizing an inverse problem in imaging (e.g., deblurring or inpainting) by means of a deep generative neural network. Compared to end-to-end mo…