Harnessing Data and Physics for Deep Learning Phase Recovery

1 code implementation • 1 Apr 2024 • Kaiqiang Wang, Edmund Y. Lam

Two main deep learning phase recovery strategies are data-driven (DD) with supervised learning mode and physics-driven (PD) with self-supervised learning mode.

Self-Supervised Learning

On the use of deep learning for phase recovery

1 code implementation • 2 Aug 2023 • Kaiqiang Wang, Li Song, Chutian Wang, Zhenbo Ren, Guangyuan Zhao, Jiazhen Dou, Jianglei Di, George Barbastathis, Renjie Zhou, Jianlin Zhao, Edmund Y. Lam

Then, we review how DL provides support for PR from the following three stages, namely, pre-processing, in-processing, and post-processing.