Generative Adversarial Networks recover features in astrophysical images of galaxies beyond the deconvolution limit · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/1702.00403/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMTGenerative Adversarial Networks recover features in astrophysical images of galaxies beyond the deconvolution limit — mentioned by arriuhttps://news.ycombinator.com/item?id=17561072urn:hackerpapers:mention:1702.00403:17561072Wed, 18 Jul 2018 18:52:30 GMT<p>Thank you for the link, there that is one hell of a reference. Please share more if you have any others handy. I wonder how much of that work would be generalizable through specialized neural nets: https://arxiv.org/abs/1702.00403</p><p><a href="https://hackerpaper.kaipfister.de/p/1702.00403/">Paper and discussion history</a>. A mention is not an endorsement.</p>astro-ph.IM