https://hackerpaper.kaipfister.de/p/2206.07798/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMThttps://news.ycombinator.com/item?id=49491779urn:hackerpapers:mention:2206.07798:49491779Sat, 29 Aug 2026 17:47:16 GMT<p>- Source of the blog (not me): https://blog.wolfram.com/author/silvia-hao/ Stippling is an old topic. The question is simple: how to optimaly place points to fit a target distribution. Artists do that, and mathematicians search for algorithms to do it with computers, which is quite a challenge because naive formulations are intractable. - Implementation based on Gaussian Blue Noise (me, both notebook and package): Feel free to explore stippling on your own images, from google Colab https://colab.research.google.com/drive/1W15QE8Boj0-Ld4Dx3N2... or directly by using the package from github…</p><p><a href="https://hackerpaper.kaipfister.de/p/2206.07798/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.GRhttps://news.ycombinator.com/item?id=40365153urn:hackerpapers:submission:2206.07798:40365153Wed, 15 May 2024 10:42:03 GMT<p>Gaussian Blue Noise (2022)</p><p></p><p>55 points; 12 discussion replies on HN. <a href="https://hackerpaper.kaipfister.de/p/2206.07798/">Paper and source history</a>. A submission is not an endorsement.</p>cs.GRhttps://news.ycombinator.com/item?id=32157951urn:hackerpapers:submission:2206.07798:32157951Tue, 19 Jul 2022 21:04:04 GMT<p>Gaussian Blue Noise</p><p></p><p>3 points; 0 discussion replies on HN. <a href="https://hackerpaper.kaipfister.de/p/2206.07798/">Paper and source history</a>. A submission is not an endorsement.</p>cs.GR