I am a Ph.D. student in Software Engineering at BeiHang University, advised by Prof. Qian Yu.

My research focuses on generative models and robust machine learning.

🔥 News

• 2024.02:  🎉🎉 Our paper SVGDreamer got accepted by CVPR’2024!
• 2023.12:  🎉🎉 We released the PyTorch-SVGRender. Pytorch-SVGRender is the go-to library for state-of-the-art differentiable rendering methods for SVG generation.

📝 Publications

CVPR 2024

SVGDreamer: Text Guided SVG Generation with Diffusion Model

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

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

Project | Code

NIPS 2023

DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models

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

Advances in Neural Information Processing Systems (NeurIPS), 2023

Project | Code

arxiv

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

arXiv, 2023

Project | Code

CVPR 2021

A Graph-Based Method for Reasoning About Label Noise

HaiYang Zhang, Ximing Xing, Liang Liu

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

📒 Projects

open source

Pytorch-SVGRender: A Differentiable Rendering Library for SVG Creation

👥 Contributors: Ximing Xing, Juncheng Hu

🌐 Project | 📁Code | 🤗HuggingFace | 📄Docs

📑 Professional Activities

• Conference Reviewer

  CVPR 2024

💻 Internships

• 2021.06 - 2021.11, Ant Group, research intern. HangZhou, China.

  Task-based Dialogue System based on Reinforcement Learning