{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/robust-compressive-phase-retrieval-via-deep","title":"Robust Compressive Phase Retrieval via Deep Generative Priors","arxiv_id":"1808.05854","date":"2018-08-17","proceeding":null,"authors":["Fahad Shamshad","Ali Ahmed"],"abstract":"This paper proposes a new framework to regularize the highly ill-posed and\nnon-linear phase retrieval problem through deep generative priors using simple\ngradient descent algorithm. We experimentally show effectiveness of proposed\nalgorithm for random Gaussian measurements (practically relevant in imaging\nthrough scattering media) and Fourier friendly measurements (relevant in\noptical set ups). We demonstrate that proposed approach achieves impressive\nresults when compared with traditional hand engineered priors including\nsparsity and denoising frameworks for number of measurements and robustness\nagainst noise. Finally, we show the effectiveness of the proposed approach on a\nreal transmission matrix dataset in an actual application of multiple\nscattering media imaging.","url_abs":"http://arxiv.org/abs/1808.05854v1","url_pdf":"http://arxiv.org/pdf/1808.05854v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"robust-compressive-phase-retrieval-via-deep","repo_url":"https://github.com/fahadshamshad/prGAN","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"tf","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"denoising","task_name":"Denoising"},{"task_slug":"retrieval","task_name":"Retrieval"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1808.05854","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}