You may be familiar with Yann LeCunn's idea of JEPA and how it may be the real future of the artificial intelligence.
I was reading the articles and watching his work on the topic and I was like it is one thing I could always use in my project of "SVG generation". Well, before that I used a model like FLUX or SD (finetuned on vector styles) and then used vtracer. Which is not really bad.
But when I saw I-JEPA and how it behaves with images, I decided to give it a shot. So I made this:
https://github.com/prp-e/openjepa
As far as I know, the available weights of JEPA are CC licensed so I licensed my work under MIT which makes it a little bit better to work.
In my personal tests - due to my small dataset size - I got SVG's successfully but they weren't as expected. I'm sharing my code here (and let's be honest, I wrote basically most of the code using Claude 5 Sonnet) and I ask for improvement and ideas.
Also, I am curious, will JEPA be a basis for text generation with more efficiency in energy and cost?
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