Regularization by architecture: A deep prior approach for inverse problems

Sören Dittmer, Tobias Kluth, Peter Maass +1

The present paper studies so-called deep image prior (DIP) techniques in the context of ill-posed inverse problems. DIP networks have been recently introduced for applications in i…