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I am a Master's student from Beihang University(BUAA). My supervisor is Associate Professor Qian Yu. And I am also an algorithm intern of AIsphere, where I work on video generation. My mentors are Dongdong Yu and Jinxiao Lin. Recently, my research focuses on deep generative models(Diffusion models and its application) and sketch&SVG generation. |
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Publications (* equal contribution, † corresponding author)
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Xingming Xing, Haitao Zhou, Chuang Wang, Jing Zhang, Dong Xu, Qian Yu† Computer Vision and Pattern Recognition(CVPR), 2024 Paper / Code 
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Xingming Xing, Chuang Wang, Haitao Zhou, Jing Zhang, Qian Yu†, Dong Xu Neural Information Processing Systems (NeurIPS), 2023 Paper / Code 
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Zirui An, Jingbo Yu, Runtao Liu, Chuang Wang, Qian Yu† Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023 Paper |
Preprints (* equal contribution, † corresponding author)
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Xingming Xing, Chuang Wang, Haitao Zhou, Zhihao Hu, Chongxuan Li, Dong Xu, Qian Yu† arXiv, 2023 arXiv / Code 
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Projects
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PyTorch-SVGRender is the go-to library for differentiable rendering methods in SVG generation. It supports a variety of vectorization methods, including: Image-to-SVG, Text-to-SVG, Text-to-Sketch. Based on Pytorch, 2023Project Page / Doc / Code 
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Work Experience
AIsphere (Algorithm Intern), 2023.05~Now.
Main job content: The construction and tuning of the basic model of video generation; The construction of the controllable video generation pipeline.
Awards
Outstanding graduate of Beihang University, 2023
Professional activities
Reviewer for CVPR2024
Reviewer for ACM MM2024
Interests
History
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Design and source code from Jon Barron.
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