Phase Retrieval using Single-Instance Deep Generative Prior [preprint]
Preprint date
June 9, 2021
Authors
Kshitij Tayal (Ph.D. student), Raunak Manekar (Ph.D. student), Zhong Zhuang, David Yang, Vipin Kumar (professor), Felix Hofmann, Ju Sun (professor)
Abstract
Several deep learning methods for phase retrieval exist, but most of them fail on realistic data without precise support information. We propose a novel method based on single-instance deep generative prior that works well on complex-valued crystal data.
Link to full paper
Phase Retrieval using Single-Instance Deep Generative Prior
Keywords
machine learning, phase retrieval, deep learning