Ongoing Project

Reusing SVG-based Visualizations

Motivation

Turning data into stunning, personalized visualizations can feel out of reach for anyone without design expertise or technical know-how. Professional designers make it look effortless, blending creativity and precision to craft visuals that captivate and inform. But what if anyone could do the same?

Our Work

We investigate how to facilitate the reuse and adaptation of high-fidelity visualization designs, which often involve intricate graphical dependencies. To tackle the challenges of preserving design intent and enabling efficient customization, we propose an VLM-powered pipeline that transforms SVG-based visualizations into reusable templates. These templates maintain both structural and stylistic elements while supporting dynamic adaptation to new datasets. With the layered representation along the reverse-engineering pipeline, we introduce an interactive authoring tool that incorporates this pipeline with user-friendly, example-driven editing interfaces.