Abstract: Generative priors have been shown to be highly successful in solving inverse problems. In this paper, we consider quantized generative models i.e., the generator network weights come from a ...

Abstract: This paper presents CQT-Diff, a data-driven generative audio model that can, once trained, be used for solving various different audio inverse problems in a problem-agnostic setting.

Jennifer Lynn McCoy receives funding from the Carnegie Corporation for an Andrew Carnegie fellowship on depolarization as well as the Institute for Humane Studies.. She is Regent's Professor of ...