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Qi Sun

I am a PhD student (starting from 2024) in Computer Science at City University of Hong Kong, fortunately advised by Prof. Jing LIAO. My research develops generative modeling methods for the 3D world, spanning mesh geometry and dynamic content, with the goal of building world model that is physically grounded for real creation and design. Previously, I received my B.S. (Hons) in Astrophysics from the University of Science and Technology of China (USTC).

I am on the job market! I expect to graduate in Late 2027 and am actively seeking 2027 Internships and full-time roles. If you have any suitable openings or are interested in collaboration, please feel free to reach out!

Experience

Autodesk AI Lab
Autodesk AI Lab (Toronto)· Research Intern · Summer 2026
Efficient CAD Generation, working with Edward Hui.
Baidu
Baidu Research (Beijing)· Research Intern · Spring 2023
Neural Surface Reconstruction.

selected publications

  1. MeshFlow: Mesh Generation with Equivariant Flow Matching
    Qi Sun, George Kiyohiro Nakayama, Jing Nathan Yan, Qixing Huang, Alexander M. Rush, Leonidas J. Guibas, Gordon Wetzstein, Jing Liao, and Guandao Yang
    In ACM SIGGRAPH (Conditional Acceptance), 2026
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  2. Ani3DHuman: Photorealistic 3D Human Animation with Self-guided Stochastic Sampling
    Qi Sun, Can Wang, Jiaxiang Shang, Yinchun Liu, and Jing Liao
    In CVPR, 2026
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  3. Animus3D: Text-driven 3D Animation via Motion Score Distillation
    Qi Sun, Can Wang, Jiaxiang Shang, Wensen Feng, and Jing Liao
    In ACM SIGGRAPH Asia, 2025
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  4. EG4D: Explicit Generation of 4D Object without Score Distillation
    Qi Sun, Zhiyang Guo, Ziyu Wan, Jing Nathan Yan, Shengming Yin, Wengang Zhou, Houqiang Li, and Jing Liao
    In ICLR, 2025
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  5. /assets/video/eccv24-forest2seq.png
    Forest2Seq: Revitalizing Order Prior for Sequential Indoor Scene Synthesis
    Qi Sun, Hang Zhou, Wengang Zhou, Li Li, and Houqiang Li
    In ECCV, 2024
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