Deep S^3PR: Simultaneous Source Separation and Phase Retrieval Using Deep Generative Models

Code

• github.com/computational-imaging/DeepS3PR
  OfficialIn paperpytorch★ 8

Abstract

This paper introduces and solves the simultaneous source separation and phase retrieval (S^3PR) problem. S^3PR is an important but largely unsolved problem in a number application domains, including microscopy, wireless communication, and imaging through scattering media, where one has multiple independent coherent sources whose phase is difficult to measure. In general, S^3PR is highly under-determined, non-convex, and difficult to solve. In this work, we demonstrate that by restricting the solutions to lie in the range of a deep generative model, we can constrain the search space sufficiently to solve S^3PR.

Tasks

Reproductions