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New AI Model Converts Raster Charts to Editable SVGs

By PulseAugur Editorial · [1 sources] ·

Researchers have developed Chart2SVG, a novel multimodal large language model capable of converting static raster charts into editable Scalable Vector Graphics (SVGs). This model incorporates chart-specific semantic tokens to capture both geometric details and functional roles, enabling programmatic editing. To enhance structural recovery, a new dataset called Beagle+ was created, comprising 33,000 distilled chart samples. The system also constructs a Chart Structure Graph (CSG) to expose visual dependencies, facilitating interactive exploration and chart repurposing. AI

IMPACT Enhances interactive visualization tools by enabling programmatic editing and structural analysis of charts.

RANK_REASON The cluster contains a research paper detailing a new AI model and dataset. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New AI Model Converts Raster Charts to Editable SVGs

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The cluster contains a research paper detailing a new AI model and dataset. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Jinning Cui, Lu Chen, Haoyan Shi, Yue He, Chenglong Wang, Mengyu Zhou, Weidong Huang, Yunhai Wang ·

    Chart2SVG: Editable SVG Generation from Raster Chart Images

    arXiv:2608.26544v1 Announce Type: new Abstract: We present Chart2SVG, a multimodal large language model that converts static raster charts into structurally organized, semantically enriched SVGs that support programmatic editing. By incorporating chart-specific semantic tokens in…

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