SOURCE-LINKED INTELLIGENCE
MM-SVGEdit: A Multimodal-Driven SVG Editing for UI Design
In the field of UI design, Scalable Vector Graphics (SVG) is widely used as a design medium. However, traditional SVG editing techniques have high entry barriers and require cumbersome manual iteration, while LLM-based editing solutions suffer from low accuracy and poor user controllability. To address these issues, we propose MM-SVGEdit, a multimodal-driven SVG editing approach that integrates traditional SVG editing and LLM-based methods. We introduce a two-stage strategy in which visual grounding is followed by modification. Both stages support two interaction modalities: natural language i
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-05T14:30:23.000Z
First collected: 2026-09-20T21:32:07.623Z. This is not the publication date.