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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>BlenderProc · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1911.01911/</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/1911.01911/feed.xml" rel="self" type="application/rss+xml" /><item><title>BlenderProc — mentioned by DonHopkins</title><link>https://news.ycombinator.com/item?id=30194723</link><guid isPermaLink="false">urn:hackerpapers:mention:1911.01911:30194723</guid><pubDate>Thu, 03 Feb 2022 16:42:50 GMT</pubDate><description>&lt;p&gt;The wonderful thing is that since Blender is totally scriptable in Python, and Python is the lingua franca of machine learning, you can seamlessly and efficiently use Blender to do all kinds of cool things with machine learning and AI! Both creating ML-enhanced content creation and editing tools of course, but also synthesizing images, videos, 2D and 3D content for ML training. For example, you can use using GPU-accelerated ray tracing and procedural character animation in photorealistic environments to train body tracking and pose estimation networks, since you get the precise &amp;quot;ground truth&amp;quot;…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1911.01911/"&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>
