OmniSVG is the first family of end-to-end multimodal SVG generators that leverage pre-trained Vision-Language Models (VLMs), capable of generating complex and detailed SVGs, from simple icons to intricate anime characters.
- [2025/04/09] Release MMSVG-Icon and MMSVG-Illustration 🤗Dataset.
- [2025/04/09] Upload paper and init project.
- Code and Pretrained Models Release
- MMSVG-Character Release
- MMSVG-Icon and MMSVG-Illustration Dataset Release
- Project Page & Technical Report
@article{yang2025omnisvg,
title={OmniSVG: A Unified Scalable Vector Graphics Generation Model},
author={Yiying Yang and Wei Cheng and Sijin Chen and Xianfang Zeng and Jiaxu Zhang and Liao Wang and Gang Yu and Xinjun Ma and Yu-Gang Jiang},
journal={arXiv preprint arxiv:2504.06263},
year={2025}
}
We thank the following excellent open-source works:
IconShop: is the first advanced work that leverages LLMs to generate monochrome, icon-level SVGs. We referred to its parametric implementation.
Here is the list of highly related concurrent works:
LLM4SVG: treats SVG coordinates as number strings and predicts decimal part for higher spatial accuracy.
StarVector: equips LLM with an image encoder for Image-to-SVG generation.
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