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README.md

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+We are the InternSVG team from the Shanghai Artificial Intelligence Laboratory, dedicated to empowering the InternVL series models with unified capabilities for SVG vector graphic understanding, editing, and generation.
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+Current Work: 
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+## InternSVG: Towards Unified SVG Tasks with Multimodal Large Language Models
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+The InternSVG Family — a comprehensive suite that unifies data, benchmarks, and models for SVG understanding, editing, and generation. It consists of:
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+🧩 SAgoge — the largest and most diverse multimodal SVG dataset, covering icons, illustrations, chemistry diagrams, and dynamic animations;
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+🏆 SArena — a companion benchmark offering unified task definitions and standardized evaluation protocols across SVG domains;
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+🤖 InternSVG Models — multimodal large language models trained for SVG understanding, editing, and generation.
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+Project Links
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+🌐 Project Page: https://hmwang2002.github.io/release/internsvg/
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+📄 ArXiv Paper: https://arxiv.org/abs/2510.11341
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+💻 GitHub Repository: https://github.com/hmwang2002/InternSVG
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+📊 SArena Benchmark: https://huggingface.co/datasets/InternSVG/SArena
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+📦 SAgoge Dataset and InternSVG Model Weights — coming soon