Latent Generative Models with Tunable Complexity for Compressed Sensing and other Inverse Problems

Sean Gunn, Jorio Cocola, Oliver De Candido +2

Generative models have emerged as powerful priors for solving inverse problems. These models typically represent a class of natural signals using a single fixed complexity or dimen…