Tunable Latent Generative Priors for Compressed Sensing and Inverse Problems

Sean Gunn, Jorio Cocola, Oliver De Candido +2

Latent generative models have emerged as powerful priors for solving inverse problems. These models typically represent a class of natural signals at a single, fixed complexity, go…