Empowering LLMs to Understand and Generate Complex Vector Graphics

Ximing Xing, Juncheng Hu, Guotao Liang, Jing Zhang, Dong Xu, Qian Yu

TL;DR: LLM4SVG introduces learnable SVG Semantic Tokens and a large SVGX-SFT dataset, enabling LLMs to understand and generate complex vector graphics.

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025

🌐 Project | 📁 Code

SVGFusion: Scalable Text-to-SVG Generation via Vector Space Diffusion

Ximing Xing, Juncheng Hu, Jing Zhang, Dong Xu, Qian Yu

TL;DR: SVGFusion improves text-to-SVG generation by using a VP-VAE to learn a vector representation of SVG elements, and a VS-DiT to generate SVGs from text prompts by performing diffusion within that learned vector space.

🌐 Project | 📁 Code

VectorPainter: Advanced Stylized Vector Graphics Synthesis Using Stroke-Style Priors

Juncheng Hu, Ximing Xing, Jing Zhang, Qian Yu

TL;DR: VectorPainter synthesizes text-guided vector graphics by imitating strokes.

2025 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2025.

🌐 Project | 📁 Code

Pytorch-SVGRender: A Differentiable Rendering Library for SVG Creation

👥 Main Contributors: Ximing Xing, Juncheng Hu

TL;DR: SVG Differentiable Rendering: Generating vector graphics using neural networks. Support: text-to-SVG, Image-to-SVG, SVG Editing.

🌐 Project | 📁 Code | 🤗 HuggingFace | 📄 Docs