Soomin Park

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I am a PhD candidate at the Lifelike Avatar & Agent Laboratory, KAIST, advised by Prof. Sung-Hee Lee. I received my M.S. from the same laboratory.

I explore both kinematic and dynamic approaches, prioritizing flexibility in their integration to improve motion fidelity, controllability, and diversity beyond existing datasets. My current work focuses on humanoid control, with the goal of achieving physically plausible human motion. Ultimately, I aspire to contribute to the applications in computer animation, robotics, and AR/VR.

Email | Google Scholar | Github | LinkedIn

news

Feb 20, 2026 MaskAdapt has been accepted to CVPR 2026!

selected publications

  1. CVPR
    MaskAdapt: Learning Flexible Motion Adaptation via Mask-Invariant Prior for Physics-Based Characters
    Soomin Park, Eunseong Lee, Kwang Bin Lee, and 1 more author
    CVPR, 2026
  2. TOG
    Motion Puzzle: Arbitrary Motion Style Transfer by Body Part
    Deok-Kyeong Jang, Soomin Park, and Sung-Hee Lee
    ACM Transactions on Graphics (Proc. SIGGRAPH), 2022
  3. PACMCGIT
    Diverse Motion Stylization for Multiple Style Domains via Spatial-Temporal Graph-based Generative Model
    Soomin Park, Deok-Kyeong Jang, and Sung-Hee Lee
    Proceedings of the ACM on Computer Graphics and Interactive Techniques (Proc. SCA), 2021