OmniSVG

Summary

Official repo for OmniSVG OmniSVG: A Unified Scalable Vector Graphics Generation Model 🏃 Intro OmniSVG 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. 🚩 News [2025/04/09] Release MMSVG-Icon and MMSVG-Illustration 🤗Dataset. [2025/04/09] Upload paper and init project. To Do List Code and Pretrained Models Release Code and Pretrained Models Release MMSVG-Character Release MMSVG-Character Release MMSVG-Icon and MMSVG-Illustration Dataset Release MMSVG-Icon and MMSVG-Illustration Dataset Release Project Page & Technical Report Citation @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 } } Acknowledgments 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.