✨VecGlypher: Unified Vector Glyph Generation with Language Models

📝 Summary:
VecGlypher is a multimodal language model that generates high-fidelity vector glyphs directly from text or images by emitting SVG path tokens. This bypasses raster processes, creating editable outlines in one pass. It outperforms prior methods, simplifying font design.

🔹 Publication Date: Published on Feb 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2602.21461
• PDF: https://arxiv.org/pdf/2602.21461
• Project Page: https://xk-huang.github.io/VecGlypher/
• Github: https://github.com/xk-huang/VecGlypher

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For more data science resources:
✓ https://t.iss.one/DataScienceT

#VectorGraphics #LLM #FontDesign #GenerativeAI #AI

✨VFIG: Vectorizing Complex Figures in SVG with Vision-Language Models

📝 Summary:
VFIG is a vision-language model that converts raster images into scalable vector graphics SVG. It employs a 66K dataset and hierarchical training for high-fidelity conversion, outperforming open-source models and matching proprietary ones.

🔹 Publication Date: Published on Mar 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/pdf/2603.24575
• PDF: https://arxiv.org/pdf/2603.24575
• Project Page: https://vfig-proj.github.io/
• Github: https://github.com/RAIVNLab/VFig

🔹 Models citing this paper:
• https://huggingface.co/XunmeiLiu/VFIG-4B

✨ Spaces citing this paper:
• https://huggingface.co/spaces/allenai/VFig-Image2SVG-Demo

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For more data science resources:
✓ https://t.iss.one/DataScienceT

#VisionLanguageModels #SVG #VectorGraphics #AI #ComputerVision