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VLM-Driven Parsing Method Aims to Improve Compositional SVG Generation
A new arXiv paper addresses the difficulty of producing structured, editable SVG graphics with vision-language models. Current approaches tend to output flat sets of paths with little semantic organization, which limits editability. The proposed method uses hierarchical semantic parsing driven by a VLM to make generation more compositional.