Pengbin Yu

Matrix Recovery using Deep Generative Priors with Low-Rank Deviations

In matrix recovery, an unknown matrix can be reconstructed by a small number of limited and noisy measurements. Deep learning-based methods, such as deep generative models, pro-vide stronger priors that can serve to mitigate the pressure of sampling during image recovery. But such methods require th…