2022
Inverse Imaging with Generative Priors Via Langevin Dynamics
ICASSP 2022accepted
Deep generative models have emerged as a powerful class of priors for signals in various inverse problems such as compressed sensing, phase retrieval and super-resolution. Here, we assume an unknown signal to lie in the range of some pre-trained generative model. A popular approach for signal recove…