{"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/deep-ptych-subsampled-fourier-ptychography","title":"Deep Ptych: Subsampled Fourier Ptychography using Generative Priors","arxiv_id":"1812.11065","date":"2018-12-22","proceeding":null,"authors":["Fahad Shamshad","Farwa Abbas","Ali Ahmed"],"abstract":"This paper proposes a novel framework to regularize the highly ill-posed and\nnon-linear Fourier ptychography problem using generative models. We demonstrate\nexperimentally that our proposed algorithm, Deep Ptych, outperforms the\nexisting Fourier ptychography techniques, in terms of quality of reconstruction\nand robustness against noise, using far fewer samples. We further modify the\nproposed approach to allow the generative model to explore solutions outside\nthe range, leading to improved performance.","url_abs":"http://arxiv.org/abs/1812.11065v1","url_pdf":"http://arxiv.org/pdf/1812.11065v1.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":"deep-ptych-subsampled-fourier-ptychography","repo_url":"https://github.com/fahadshamshad/DeepPtych","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"tf","reach":{"status":"ok"}}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1812.11065","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}