Sicheng Gao

I am a postgraduate student at Beihang University (BUAA), supervised by Prof. Baochang Zhang. My research focuses on Computer Vision and Machine Learning, including Image and Video Super-Resolution, Generative Models, 3D Scene Rendering, Model Compression and Medical Image Analysis. Now I'm applying for a PhD position.

Email  /  CV  /  Github

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Experience

  • Research Intern, NUS CVML Group, June. 2023 - Present
  • Research Intern, United Imaging Intelligence, Nov. 2022 - May. 2023
  • M.Eng. in Pattern Recognition and Intelligent Systems, Beihang University, Sep. 2021 - Present
  • Research Intern, SenseTime Research, Jan. 2021 - Jul. 2021
  • B.Eng. in Agricultural Mechanization and Automation, China Agricultural University, Sep. 2017 - Jun. 2021

    		•
    Research
    Implicit Diffusion Models for Continuous Super-Resolution
    Sicheng Gao*, Xuhui Liu*, Bohan Zeng*, Sheng Xu, Yanjing Li, Xiaoyan Luo, Jianzhuang Liu, Xiantong Zhen, Baochang Zhang
    CVPR, 2023
    paper / code

    When diffusion models meet implicit neural representations.
    MagFormer: Hybrid Video Motion Magnification Transformer from Eulerian and Lagrangian Perspectives
    Sicheng Gao*, Yutang Feng*, Linlin Yang, Xuhui Liu, Zichen Zhu, David Doermann, Baochang Zhang
    BMVC, 2022
    paper

    A inspiration from fluid mechanics.
    Face Animation with an Attribute-Guided Diffusion Model
    Bohan Zeng*, Xuhui Liu*, Sicheng Gao*, Hong Li, Boyu Liu, Yanjing Li, Jianzhuang Liu, Xiantong Zhen, Baochang Zhang
    CVPR Workshop 2023
    paper / code

    The first face animation method by diffusion models.
    Controllable Mind Visual Diffusion Model
    Bohan Zeng, Shanglin Li, Xuhui Liu, Sicheng Gao, Jianzhuang Liu, Baochang Zhang
    Submitted
    paper


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