Sunmin Lee


:computer: Hello! I am a Ph.D candidate at Seoul National University.

I am a member of Intelligent Motion Lab led by Jungdam Won.
Previously, I was advised by Jehee Lee at Movement Research Lab.

My primary research interest is about understanding human movements and creating a virtual agent that moves like us. It includes, but is not limited to, character animation, machine learning and robotics.

Curriculum Vitae


Aug 2023 [Paper] Our Paper SAME is accepted to Siggraph Asia 2023. See you in Sydney!
Jul 2023 [Grant] I’m honored to recieve ACM Siggraph Conference Grant.
Jun 2023 - Nov 2023 [Intern] Excited to start a return internship at Meta Realitity Labs Research.
Apr 2023 [Paper] Our Paper QuestEnvSim is accepted to Siggraph 2023. See you in LA!
Aug 2022 - Feb 2023 [Intern] Had wonderful six months at Meta Realitity Labs Research


  1. same.gif
    SAME: Skeleton-Agnostic Motion Embedding for Character Animation
    Sunmin Lee, Taeho Kang, Jungnam Park, Jehee Lee, and Jungdam Won
    ACM Transactions on Graphics (SIGGRAPH ASIA 2023) (To appear)
  2. questenvsim.gif
    QuestEnvSim: Environment-Aware Simulated Motion Tracking from Sparse Sensors
    Sunmin Lee, Sebastian Starke, Yuting Ye, Jungdam Won, and Alexander Winkler
    ACM Transactions on Graphics (SIGGRAPH 2023)
  3. afamily.gif
    Learning a family of motor skills from a single motion clip
    Seyoung Lee, Sunmin Lee, Yongwoo Lee, and Jehee Lee
    ACM Transactions on Graphics (SIGGRAPH 2021)
  4. tcr.gif
    Learning Time-Critical Responses for Interactive Character Control
    Kyungho Lee, Sehee Min, Sunmin Lee, and Jehee Lee
    ACM Transactions on Graphics (SIGGRAPH 2021)
  5. icc.gif
    Learning Predict-and-Simulate Policies From Unorganized Human Motion Data
    Soohwan Park, Hoseok Ryu, Seyoung Lee, Sunmin Lee, and Jehee Lee
    ACM Transactions on Graphics (SIGGRAPH ASIA 2019)
  6. FURL
    FURL: Fixed-memory and uncertainty reducing local triangle counting for multigraph streams
    Minsoo Jung, Yongsub Lim, Sunmin Lee, and U. Kang
    Data Mining and Knowledge Discovery (DMKD) 2019