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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2310.12190/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:27:26 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2310.12190/feed.xml" rel="self" type="application/rss+xml" /><item><title>DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors — HN submission</title><link>https://news.ycombinator.com/item?id=39285499</link><guid isPermaLink="false">urn:hackerpapers:submission:2310.12190:39285499</guid><pubDate>Wed, 07 Feb 2024 07:12:57 GMT</pubDate><description>&lt;p&gt;Show HN: DynamiCrafter: Animating Open-Domain Images with Video Diffusion Priors&lt;/p&gt;&lt;p&gt;Hello HN! We have released a major update of our image-to-video diffusion model, DynamiCrafter, with better dynamic, higher resolution, and stronger coherence. DynamiCrafter can animate open-domain still images based on text prompt by leveraging the pre-trained video diffusion priors. Please check our project page and paper for more information. We will continue to improve the model&amp;#x27;s performance. Comparisons with Stable Video Diffusion and PikaLabs can be found at https://www.youtube.com/watch?v=0NfmIsNAg-g Online demo: https://huggingface.co/spaces/Doubiiu/DynamiCrafter Our project page…&lt;/p&gt;&lt;p&gt;6 points; 2 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2310.12190/"&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>
