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.
π₯ News
- 2024.02: Β ππ Our paper SVGDreamer got accepted by CVPRβ2024!
- 2023.12: Β ππ We released the PyTorch-SVGRender. Pytorch-SVGRender is the go-to library for state-of-the-art differentiable rendering methods for SVG generation.
π Publications
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
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
Ximing Xing, Chuang Wang, Haitao Zhou, Zhihao Hu, Chongxuan Li, Dong Xu, Qian Yu
arXiv, 2023
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
π Projects
Pytorch-SVGRender: A Differentiable Rendering Library for SVG Creation
π₯ Contributors: Ximing Xing, Juncheng Hu
π Project | πCode | π€HuggingFace | πDocs
π Professional Activities
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Conference Reviewer
CVPR 2024, ECCV 2024, NIPS 2024, ACM MM 2024, AAAI 2025
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Journal Reviewer
IJCV, IEEE T-VCG
π» Internships
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2021.06 - 2021.11, Ant Group, research intern. HangZhou, China.
Task-based Dialogue System based on Deep Reinforcement Learning