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ChartEditor: A Human-AI Paired Tool for Authoring Pictorial Charts

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arxiv 2501.07320 v1 pith:BI3YWI4W submitted 2025-01-13 cs.HC

Siyu Yan , Tiancheng Liu , Weikai Yang , Nan Tang , Yuyu Luo This is my paper · ORCID
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keywords chartspictorialcharteditorbasicchartcomponentscontrolcreation
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Pictorial charts are favored for their memorability and visual appeal, offering a more engaging alternative to basic charts. However, their creation can be complex and time-consuming due to the lack of native support in popular visualization tools like Tableau. While AI-generated content (AIGC) tools have lowered the barrier to creating pictorial charts, they often lack precise design control. To address this issue, we introduce ChartEditor, a human-AI paired tool that transforms basic charts into pictorial versions based on user intent. ChartEditor decomposes chart images into visual components and organizes them within a hierarchical tree. Based on this tree, users can express their intent in natural language, which is then translated into modifications to the hierarchy. In addition, users can directly interact with and modify specific chart components via an intuitive interface to achieve fine-grained design control. A user study demonstrates the effectiveness and usability of ChartEditor in simplifying the creation of pictorial charts.

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  1. ArtChart: Faithful Artistic Chart Generation with Integrated Text Rendering

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    ArtChart, a ControlNet + GRPO + multi-expert distillation system, achieves about 9.1/10 math, 9.5/10 text, and 7.7/10 layout on a new 2K bilingual artistic-chart benchmark, well above open baselines.

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