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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>A Style-Based Generator Architecture for Generative Adversarial Networks · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1812.04948/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1812.04948/feed.xml" rel="self" type="application/rss+xml" /><item><title>A Style-Based Generator Architecture for Generative Adversarial Networks — mentioned by sillysaurusx</title><link>https://news.ycombinator.com/item?id=28941142</link><guid isPermaLink="false">urn:hackerpapers:mention:1812.04948:28941142</guid><pubDate>Thu, 21 Oct 2021 06:41:32 GMT</pubDate><description>&lt;p&gt;&amp;gt; Take your example about StyleGAN vs BigGan, I assume once it became clear that the latter was superior to the former that likely resulted in changes to existing architectures that then found additional improvements. This change in consensus is what enables that and is a good thing. Well, no. :) But I think the &amp;quot;no&amp;quot; is because of the uniqueness of ML rather than a &amp;quot;no&amp;quot; to your point in general. You might be right about other fields; I don&amp;#x27;t have experience there. In ML, there an enormous number of techniques. Style mixing was presented as a core feature of StyleGAN…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1812.04948/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.NE</category></item><item><title>A Style-Based Generator Architecture for Generative Adversarial Networks — mentioned by godelski</title><link>https://news.ycombinator.com/item?id=27613525</link><guid isPermaLink="false">urn:hackerpapers:mention:1812.04948:27613525</guid><pubDate>Thu, 24 Jun 2021 03:16:13 GMT</pubDate><description>&lt;p&gt;To be honest I don&amp;#x27;t think the StyleGAN papers are benchmark chasing. If you read StyleGAN[0], StyleGAN2[1], StyleGAN2-ADA[2], and this paper there is a clear story. They call out the mistakes in the previous papers and resolve them. The papers themselves even admit to where they fall short. But it is research. Problems don&amp;#x27;t get solved all at once. But if you pay attention to these 4 papers it is very clear Kerras has a very well defined research focus and direction. He&amp;#x27;s showing his progress over time, sharing it with the community, and learning from the community as well. This is how…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1812.04948/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.NE</category></item><item><title>A Style-Based Generator Architecture for Generative Adversarial Networks — mentioned by guessmyname</title><link>https://news.ycombinator.com/item?id=19205807</link><guid isPermaLink="false">urn:hackerpapers:mention:1812.04948:19205807</guid><pubDate>Wed, 20 Feb 2019 05:35:37 GMT</pubDate><description>&lt;p&gt;I fixed the format for you: • https://github.com/NVlabs/stylegan • https://arxiv.org/abs/1812.04948 • https://www.youtube.com/watch?v=kSLJriaOumA • https://www.lyrn.ai/2018/12/26/a-style-based-generator-archi... • https://www.youtube.com/watch?v=1ct_P3IZow0&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1812.04948/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.NE</category></item><item><title>A Style-Based Generator Architecture for Generative Adversarial Networks — mentioned by gwern</title><link>https://news.ycombinator.com/item?id=19205772</link><guid isPermaLink="false">urn:hackerpapers:mention:1812.04948:19205772</guid><pubDate>Wed, 20 Feb 2019 05:29:15 GMT</pubDate><description>&lt;p&gt;https://github.com/NVlabs/stylegan https://arxiv.org/abs/1812.04948 https://www.youtube.com/watch?v=kSLJriaOumA https://www.lyrn.ai/2018/12/26/a-style-based-generator-archi... https://www.youtube.com/watch?v=1ct_P3IZow0&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1812.04948/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.NE</category></item><item><title>A Style-Based Generator Architecture for Generative Adversarial Networks — mentioned by huling0</title><link>https://news.ycombinator.com/item?id=19182368</link><guid isPermaLink="false">urn:hackerpapers:mention:1812.04948:19182368</guid><pubDate>Sun, 17 Feb 2019 02:43:37 GMT</pubDate><description>&lt;p&gt;It is based on https://arxiv.org/pdf/1812.04948.pdf Images can easily be generated on the fly. Inference time is ~100ms.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1812.04948/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.NE</category></item><item><title>A Style-Based Generator Architecture for Generative Adversarial Networks — mentioned by lucidrains</title><link>https://news.ycombinator.com/item?id=19155220</link><guid isPermaLink="false">urn:hackerpapers:mention:1812.04948:19155220</guid><pubDate>Wed, 13 Feb 2019 18:16:50 GMT</pubDate><description>&lt;p&gt;Thanks for all the upvotes! Since I made this site, people have already started to train on datasets beyond just real faces. Turns out it can disentangle pretty much any set of data. Gwern has applied this to anime dataset https://twitter.com/gwern/status/1095131651246575616 Cyril at Google has applied it to artwork https://twitter.com/kikko_fr/status/1094685986691399681 This was to raise awareness for what a talented group of researchers made at Nvidia over the course of 2 years, the latest state of the art for GANs. https://arxiv.org/pdf/1812.04948.pdf (https://github.com/NVlabs/stylegan)…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1812.04948/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.NE</category></item><item><title>A Style-Based Generator Architecture for Generative Adversarial Networks — mentioned by wardbradt</title><link>https://news.ycombinator.com/item?id=19149977</link><guid isPermaLink="false">urn:hackerpapers:mention:1812.04948:19149977</guid><pubDate>Wed, 13 Feb 2019 02:59:45 GMT</pubDate><description>&lt;p&gt;Googling &amp;quot;nvidia face generator&amp;quot; lead me to &amp;quot;A Style-Based Generator Architecture for Generative Adversarial Networks,&amp;quot; (6 Feb 2019) a paper showing the faces on the site. https://arxiv.org/pdf/1812.04948.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1812.04948/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.NE</category></item><item><title>A Style-Based Generator Architecture for Generative Adversarial Networks — mentioned by lucidrains</title><link>https://news.ycombinator.com/item?id=19137222</link><guid isPermaLink="false">urn:hackerpapers:mention:1812.04948:19137222</guid><pubDate>Mon, 11 Feb 2019 18:58:54 GMT</pubDate><description>&lt;p&gt;This is just to raise awareness for how powerful the generative models have become with the recently open sourced https://github.com/NVlabs/stylegan Based on work from https://arxiv.org/abs/1812.04948&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1812.04948/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.NE</category></item><item><title>A Style-Based Generator Architecture for Generative Adversarial Networks — mentioned by jmiserez</title><link>https://news.ycombinator.com/item?id=18762057</link><guid isPermaLink="false">urn:hackerpapers:mention:1812.04948:18762057</guid><pubDate>Wed, 26 Dec 2018 13:34:45 GMT</pubDate><description>&lt;p&gt;Original article here: https://www.theverge.com/2018/12/17/18144356/ai-image-genera... Source paper: https://arxiv.org/pdf/1812.04948.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1812.04948/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.NE</category></item><item><title>A Style-Based Generator Architecture for Generative Adversarial Networks — HN submission</title><link>https://news.ycombinator.com/item?id=18675371</link><guid isPermaLink="false">urn:hackerpapers:submission:1812.04948:18675371</guid><pubDate>Thu, 13 Dec 2018 19:47:43 GMT</pubDate><description>&lt;p&gt;A Style-Based Generator Architecture for Generative Adversarial Networks [pdf]&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;78 points; 6 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1812.04948/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.NE</category></item></channel></rss>
