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English(EN) VectorHarness: Recovering Editable, Relation-Preserving Structure from Scientific Graphics

VectorHarness 框架将科学图形转换为可编辑格式

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了 VectorHarness，一个多智能体框架，旨在将科学图形从栅格图像转换为可编辑的创作表示。该系统旨在将文本、公式、形状和图表等异构组件恢复为原生可编辑对象，而不仅仅是视觉复制它们。为了评估其性能，引入了一个名为 VectorHarness-Bench 的新基准，评估渲染保真度、可编辑性和关系保留。 AI

影响 能够更灵活地编辑和操作科学图形，可能提高研究沟通和可重复性。

排序理由 该集群描述了一篇关于科学图形图像到代码生成的新颖框架和基准的最新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

VectorHarness 框架将科学图形转换为可编辑格式

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该集群描述了一篇关于科学图形图像到代码生成的新颖框架和基准的最新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Jiahao Tang, Yiren Song, Alex Jinpeng Wang ·

    VectorHarness：从科学图形中恢复可编辑、保留关系的结构

    arXiv:2609.13294v1 Announce Type: new Abstract: Converting scientific graphics into editable representations remains a challenging problem for image-to-code generation because of their heterogeneous elements and complex layouts. Recent multi-agent reconstruction systems have adva…

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