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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>SfM-Net: Learning of Structure and Motion from Video · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1704.07804/</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/1704.07804/feed.xml" rel="self" type="application/rss+xml" /><item><title>SfM-Net: Learning of Structure and Motion from Video — mentioned by Mathnerd314</title><link>https://news.ycombinator.com/item?id=21450186</link><guid isPermaLink="false">urn:hackerpapers:mention:1704.07804:21450186</guid><pubDate>Tue, 05 Nov 2019 06:30:07 GMT</pubDate><description>&lt;p&gt;It seems to do motion transfer alright but the legs in the dancing video get warped instead of moving so there&amp;#x27;s some frames where they have triangle legs vanishing at the knee. https://youtu.be/8AZBuyEuDqc?t=34 Maybe if you scale up the training data the model is going to learn some better warping, but I think to really get better photorealism there has to be a 3D component, some kind of distance/movement estimation like in https://arxiv.org/pdf/1704.07804.pdf and a shape inference/transfer step.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1704.07804/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item><item><title>SfM-Net: Learning of Structure and Motion from Video — mentioned by osdf</title><link>https://news.ycombinator.com/item?id=14217621</link><guid isPermaLink="false">urn:hackerpapers:mention:1704.07804:14217621</guid><pubDate>Fri, 28 Apr 2017 07:45:49 GMT</pubDate><description>&lt;p&gt;There seem to be some nice developments into this direction recently? Something like the SfMNet (https://arxiv.org/abs/1704.07804) or the Correlation Filter Net (http://www.robots.ox.ac.uk/~luca/cfnet.html) for tracking.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1704.07804/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item></channel></rss>
