Invertible generative models for inverse problems: mitigating representation error and dataset bias

Muhammad Asim, Mara Daniels, Oscar Leong +2

Trained generative models have shown remarkable performance as priors for inverse problems in imaging -- for example, Generative Adversarial Network priors permit recovery of test…