Ximing Xing is a Ph.D. student (2022-Present) in Software Engineering at Beihang University, advised by Professor Qian Yu.

He is dedicated to advancing the frontiers of AI-driven content creation, with a particular focus on the generation and understanding of vector graphics. To this end, his research interests include deep generative models, vector art synthesis, text-to-SVG, neural rendering, SVG diffusion, and SVG LLMs. His research has been published in top-tier international conferences and journals such as CVPR, T-PAMI, and NeurIPS. Some of his representative works include:

His commitment to open science is reflected in his popular open-source projects, which have collectively garnered a substantial number of stars on GitHub. github

He further contributes to the AI community by sharing models and hosting interactive demonstrations on HuggingFace (@xingxm profile, SVGRender Space).

๐Ÿ”ฅ News

  • 2025.02: ย ๐ŸŽ‰๐ŸŽ‰ Our paper LLM4SVG has been accepted by CVPR2025!
  • 2025.02: ย ๐ŸŽ‰๐ŸŽ‰ Our paper SVGDreamer++ has been accepted by T-PAMI ! This is the first paper on SVG generation ever published in T-PAMI.
  • 2024.02: ย ๐ŸŽ‰๐ŸŽ‰ Our paper SVGDreamer has been accepted by CVPR 2024!
  • 2023.12: ย ๐ŸŽ‰๐ŸŽ‰ We released PyTorch-SVGRender, a state-of-the-art library for differentiable SVG rendering in PyTorch.

๐Ÿ“ Publications

๐Ÿท๏ธ Topic: Vector Graphics Synthesis

ArXiv
ReasonSVG

Reason-SVG: Hybrid Reward RL for Aha-Moments in Vector Graphics Generation

Ximing Xing, Yandong Guan, Jing Zhang, Dong Xu, Qian Yu

TL;DR: Reason-SVG introduces the first framework to enhance SVG generation in LLMs through a โ€œDrawing-with-Thoughtโ€ (DwT) paradigmโ€”combining explicit design reasoning with codeโ€”trained via supervised fine-tuning and HyperReward-driven reinforcement learning.

CVPR 2025
LLM4SVG

Empowering LLMs to Understand and Generate Complex Vector Graphics

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

project dataset

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

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

Project | Code | SVGX-SFT-1M Dataset

T-PAMI 2025
SVGDreamer++

SVGDreamer++: Advancing Editability and Diversity in Text-Guided SVG Generation

Ximing Xing, Qian Yu, Chuang Wang, Haitao Zhou, Jing Zhang, Dong Xu

project

TL;DR: SVGDreamer++ is an advanced text-to-SVG generator with two core innovations: Hierarchical Image Vectorization (HIVE) - enables semantic object-level and component-level image vectorization, and Adaptive Vector Primitive Control โ€“ dynamically assigns the optimal number of vector primitives, capturing fine-grained details without wasting computation.

IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI 2025)

Project | Code | Blog

arXiv 2024
SVGFusion

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

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

project dataset

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 | SVGX-Core-250k Dataset

CVPR 2024
SVGDreamer

SVGDreamer: Text Guided SVG Generation with Diffusion Model

Ximing Xing, Chuang Wang, Haitao Zhou, Jing Zhang, Dong Xu, Qian Yu

project

TL;DR: SVGDreamer introduces Semantic-driven Image VEctorization (SIVE) and Vector Particle-based Score Distillation (VPSD) to generate editable, high-quality SVGs with better shape control and diversity.

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024

Project | Code | Blog

ICME 2025
VectorPainter

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

Juncheng Hu, Ximing Xing, Jing Zhang, Qian Yu

project

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

Project | Code

NIPS 2023
DiffSketcher

DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models

Ximing Xing, Chuang Wang, Haitao Zhou, Jing Zhang, Qian Yu, Dong Xu

project

TL;DR: DiffSketcher pioneered the use of diffusion models for text-to-vector sketch generation.

Advances in Neural Information Processing Systems (NeurIPS), 2023

Project | Code

๐Ÿท Topic: CAD Generation

arXiv
Inversion-By-Inversion

CAD-Coder: Text-to-CAD Generation with Chain-of-Thought and Geometric Reward

Yandong Guan, Xilin Wang, Ximing Xing, Jing Zhang, Dong Xu, Qian Yu

TL;DR: CAD-Coder enables LLMs to generate complex, valid 3D CAD models from text by outputting CadQuery (Python) scripts, using a novel two-stage training and chain-of-thought approach.

๐Ÿท Topic: Controllable Text-to-Image Generation

arXiv
Inversion-By-Inversion

Inversion-by-Inversion: Exemplar-based Sketch-to-Photo Synthesis via Stochastic Differential Equations without Training

Ximing Xing, Chuang Wang, Haitao Zhou, Zhihao Hu, Chongxuan Li, Dong Xu, Qian Yu

project

TL;DR: Free training for sketch control image synthesis via Stochastic Differential Equations (SDEs).

Project | Code

๐Ÿท Topic: Robust Machine Learning

CVPR 2021
DualGraph

A Graph-Based Method for Reasoning About Label Noise

HaiYang Zhang, Ximing Xing, Liang Liu

TL;DR: DualGraph, the first method for label noise processing based on graph neural networks.

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021

๐Ÿ“’ Projects

open source
PyTorch-SVGRender

Pytorch-SVGRender: A Differentiable Rendering Library for SVG Creation

๐Ÿ‘ฅ Main Contributors: Ximing Xing, Juncheng Hu

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

website docs space

๐ŸŒ Project | ๐Ÿ“ Code | ๐Ÿค— HuggingFace | ๐Ÿ“„ Docs

๐ŸŽ– Honors and Awards

  • 2025.04 Academic Excellence Foundation of BUAA for PhD Students.
  • 2024.12 National Scholarship for Doctoral Students.
  • 2021.12 National Scholarship.

๐Ÿ“‘ Professional Activities

  • Conference Reviewer

    CVPR 2024, ECCV 2024, NIPS 2024, ACM MM 2024, AAAI 2025, CVPR 2025, SIGGRAPH 2025, NIPS 2025

  • Journal Reviewer

    IJCV, IEEE T-VCG

๐Ÿ’ป Internships

  • 2021.06 - 2021.11, Ant Group, machine learning algorithm intern. HangZhou, China.

    Multi-Turn Task-Oriented Dialogue System based on deep reinforcement learning.

    • Behavior cloning to enhance model cold-start training.
    • Agenda-based User Simulator in RL.
    • Turns- and sessions-level reward design for PPO training.