New research shows off-the-shelf vision-language models can be pushed toward SVG generation with constrained decoding and iterative refinement. The biggest win is higher compilation success, but the models still struggle to reason about visuals and correct their own mistakes. For teams building vector art pipelines, that means useful automation is closer, but not production-ready.
arXiv cs.GR
arXiv cs.GR
1% match
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