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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>SRPGAN: Perceptual Generative Adversarial Network for Single Image Super Resolution · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1712.05927/</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/1712.05927/feed.xml" rel="self" type="application/rss+xml" /><item><title>SRPGAN: Perceptual Generative Adversarial Network for Single Image Super Resolution — HN submission</title><link>https://news.ycombinator.com/item?id=16765128</link><guid isPermaLink="false">urn:hackerpapers:submission:1712.05927:16765128</guid><pubDate>Thu, 05 Apr 2018 14:22:15 GMT</pubDate><description>&lt;p&gt;SISR: From deep learning paper implementation to shipping models into production&lt;/p&gt;&lt;p&gt;An implementation in Pytorch of the SRPGAN paper https://arxiv.org/abs/1712.05927 here: https://github.com/EKami/Torchlite/blob/master/examples-torch/srpgan.py With details about the implementation here: https://tuatini.me/creating-and-shipping-deep-learning-models-into-production/ And a real-time demo here: https://torchlite.io/sr/&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1712.05927/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item></channel></rss>
