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NeuralSVG: An Implicit Representation for Text-to-Vector Generation

sagipolaczek.github.io

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Re: NeuralSVG: An Implicit Representation for Text-to-Vector Generation

#15
post #2

Prompting Claude to make SVGs then dropping them into Inkscape and getting the last ~20% of it to match the picture in my head has been a phenomenal user experience for me. This, too, piques my curiosity..!

I poked around with NeoSVG a few months back. I was not happy with the results, the computation time, or the cost. That being said, I do hope they've made big progress lately because SVGs work real nice when you have an LLM and human working in tandem (as per the comment above).

https://neosvg.com/generations

Re: NeuralSVG: An Implicit Representation for Text-to-Vector Generation

#20
I am a huge fan of this type of incremental generative approach. Language isn’t precise enough to describe a final product, so generating intermediate steps is very powerful.

I’d also like to see this in music generation. Tools like Suno are cool but I would much rather have something that generates MIDIs and instrument configurations instead.

Maybe this is a good lesson for generative tools. It’s possible to generate something that’s a good starting point. But what people actually want is long tail, so including the capability of precision modification is the difference between a canned demo and a powerful tool.

> Code coming soon

The examples are quite nice but I have no idea how reproducible they are.

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