I am a Ph.D. student in Software Engineering at Beihang University, advised by Prof. Qian Yu. My research focuses on deep generative models, vector art synthesis and robust machine learning.

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πŸ”₯ News

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

πŸ“ Publications

CVPR 2024
SVGDreamer

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 | Blog

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

Advances in Neural Information Processing Systems (NeurIPS), 2023

Project | Code

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

arXiv, 2023

Project | Code

CVPR 2021
DualGraph

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

πŸ“’ Projects

open source
PyTorch-SVGRender

Pytorch-SVGRender: A Differentiable Rendering Library for SVG Creation

pyhton license website docs space

πŸ‘₯ Contributors: Ximing Xing, Juncheng Hu

🌐 Project | πŸ“Code | πŸ€—HuggingFace | πŸ“„Docs

πŸ“‘ Professional Activities

  • Conference Reviewer

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

  • Journal Reviewer

    IJCV, IEEE T-VCG

πŸ’» Internships

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

    Task-based Dialogue System based on Deep Reinforcement Learning