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---
title: README
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colorTo: yellow
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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 β€” a comprehensive suite that unifies data, benchmarks, and models for SVG understanding, editing, and generation. It consists of:
🧩 SAgoge β€” the largest and most diverse multimodal SVG dataset, covering icons, illustrations, chemistry diagrams, and dynamic animations;
πŸ† SArena β€” a companion benchmark offering unified task definitions and standardized evaluation protocols across SVG domains;
πŸ€– InternSVG Models β€” multimodal large language models trained for SVG understanding, editing, and generation.
Project Links
🌐 Project Page: https://hmwang2002.github.io/release/internsvg/
πŸ“„ ArXiv Paper: https://arxiv.org/abs/2510.11341
πŸ’» GitHub Repository: https://github.com/hmwang2002/InternSVG
πŸ“Š SArena Benchmark: https://huggingface.co/datasets/InternSVG/SArena
πŸ“¦ SAgoge Dataset and InternSVG Model Weights β€” coming soon