Yixuan Zhu

I am a second-year Ph.D. student at Tsinghua University, advised by Prof. Jie Zhou , Prof. Jiwen Lu and Prof. Yansong Tang. Prior to my doctoral journey, I received my B.S. degree in Electronic Engineering with honours from Tsinghua University in 2022. My academic pursuits revolve around the dynamic intersection of visual generation and human digitization. This compelling research area fuels my passion for exploring innovative solutions and contributing to the cutting-edge advancements in the field.

Email / Github

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News

  • 2024-04: We are happy that our work, FlowIE, has been nominated as an oral in CVPR 2024!

  • 2024-02: Two papers on AIGC image enhancement and 3D human recovery, accepted by CVPR 2024. Papers and codes coming soon!

  • 2024-02: A paper on face swapping, accepted by IEEE Transactions on Multimedia.

    • Recent Selected Publications [ Full List ]

    (*Equal Contribution, #Corresponding Author)
    dise FlowIE: Efficient Image Enhancement via Rectified Flow
    Yixuan Zhu, Wenliang Zhao, Ao Li, Yansong Tang#, Jie Zhou, Jiwen Lu
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR Oral), 2024
    [Paper] [Code]

    We proposed a unified framework for various efficient image enhancement tasks with generative diffusion priors.

    dise DPMesh: Exploiting Diffusion Prior for Occluded Human Mesh Recovery
    Yixuan Zhu, Ao Li, Yansong Tang#, Wenliang Zhao, Jie Zhou, Jiwen Lu
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
    [Paper] [Code] [Project Page]

    We propose a new method to exploit diffusion priors for human mesh recovery (HMR) in occlusion and crowded scenarios.


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