no code implementations • 27 Feb 2024 • Raunak Manekar, Elisa Negrini, Minh Pham, Daniel Jacobs, Jaideep Srivastava
Phase retrieval (PR) is a fundamental challenge in scientific imaging, enabling nanoscale techniques like coherent diffractive imaging (CDI).
no code implementations • 9 Jun 2021 • Kshitij Tayal, Raunak Manekar, Zhong Zhuang, David Yang, Vipin Kumar, Felix Hofmann, Ju Sun
Several deep learning methods for phase retrieval exist, but most of them fail on realistic data without precise support information.
no code implementations • 23 Oct 2020 • Raunak Manekar, Zhong Zhuang, Kshitij Tayal, Vipin Kumar, Ju Sun
Phase retrieval (PR) consists of estimating 2D or 3D objects from their Fourier magnitudes and takes a central place in scientific imaging.
no code implementations • 23 Oct 2020 • Kshitij Tayal, Chieh-Hsin Lai, Raunak Manekar, Zhong Zhuang, Vipin Kumar, Ju Sun
In many physical systems, inputs related by intrinsic system symmetries generate the same output.