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