Sunmin Lee

Hi, I’m Sunmin. I am a Ph.D student in Computer Science and Engineering at Seoul National University. I am fortunate enough to be advised by Prof. Jungdam Won and previously by Prof. Jehee Lee.

I am broadly interested in 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.

During my PhD, I am grateful to be recognized as 2024 Yulchon AI Star, 2024 WiGraph Rising Star in Computer Graphics, and 2025 Google PhD Fellowship. I also spent wonderful summers at Meta Reality Labs and NVIDIA Spatial Intelligence Lab as a PhD research intern.

✨ On the job market! I am looking for Research Scientist / Postdoc positions starting in late 2026 or early 2027. Please check out my CV and feel free to reach out if you see a potential fit! ✨ I’m also attending SIGGRAPH this year – Drop me an email to connect! 🙌

News

Jul 2026	Our Paper DMP is accepted to ACM Transactions on Graphics 2026.
Jun 2026	PhD thesis defended! ✨
Oct 2025	I’m honored to be recognized and supported by Google PhD Fellowship.
Aug 2025	I’ll be teaching “Introduction to Reinforcement Learning for Character Animation” at 2025 SCA Graduate Summer School. See you in Vancouver!
Sep 2024	I’m honored to be named a Yulchon AI Star.
Aug 2024	I’m excited to start an internship at NVIDIA Toronto AI Lab.
May 2024	I’m honored to be recognized as a WiGRAPH Rising Star.
Aug 2023	Our Paper SAME is accepted to Siggraph Asia 2023. See you in Sydney!
Jul 2023	I’m honored to recieve ACM Siggraph Conference Grant.
Jun 2023 - Nov 2023	Excited to start a return internship at Meta Reality Labs Research.
Apr 2023	Our Paper QuestEnvSim is accepted to Siggraph 2023. See you in LA!
Aug 2022 - Feb 2023	Had wonderful six months at Meta Reality Labs Research

Publications

DMP: Directable Motion Retargeting through Motion Paraphrasing

Sunmin Lee, Davis Rempe, Yifeng Jiang, Haotian Zhang, Tingwu Wang, Jungdam Won, and Xue Bin Peng

ACM Transactions on Graphics 2026

Paper Bib

@article{10.1145/3610548.3618206,
  author = {Lee, Sunmin and Rempe, Davis and Jiang, Yifeng and Zhang, Haotian and Wang, Tingwu and Won, Jungdam and Peng, Xue Bin},
  title = {DMP: Directable Motion Retargeting through Motion Paraphrasing},
  year = {2026},
  doi = {10.1145/3829359},
  paper_link = {https://dl.acm.org/doi/10.1145/3829359}
}

SAME: Skeleton-Agnostic Motion Embedding for Character Animation

Sunmin Lee, Taeho Kang, Jungnam Park, Jehee Lee, and Jungdam Won

ACM SIGGRAPH ASIA 2023 Conference Proceedings

Project Paper Code Video Bib

@article{10.1145/3610548.3618207,
  author = {Lee, Sunmin and Kang, Taeho and Park, Jungnam and Lee, Jehee and Won, Jungdam},
  title = {SAME: Skeleton-Agnostic Motion Embedding for Character Animation},
  year = {2023},
  doi = {10.1145/3610548.3618206},
  booktitle = {SIGGRAPH Asia 2023 Conference Papers},
  location = {Sydney, Australia},
  paper_link = {https://dl.acm.org/doi/10.1145/3610548.3618206},
}

QuestEnvSim: Environment-Aware Simulated Motion Tracking from Sparse Sensors

Sunmin Lee, Sebastian Starke, Yuting Ye, Jungdam Won, and Alexander Winkler

ACM SIGGRAPH 2023 Conference Proceedings

Project Paper Video Bib

@article{10.1145/3588432.3591504,
  author = {Lee, Sunmin and Starke, Sebastian and Ye, Yuting and Won, Jungdam and Winkler, Alexander},
  title = {QuestEnvSim: Environment-Aware Simulated Motion Tracking from Sparse Sensors},
  year = {2023},
  doi = {10.1145/3588432.3591504},
  booktitle = {SIGGRAPH 2023 Conference Papers},
  location = {Los Angeles, USA},
}

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)

Project Paper Code Video Bib

@article{Lee:2021:Parameterized,
  author = {Lee, Seyoung and Lee, Sunmin and Lee, Yongwoo and Lee, Jehee},
  title = {Learning a family of motor skills from a single motion clip},
  journal = {ACM Trans. Graph.},
  volume = {40},
  number = {4},
  year = {2021},
  articleno = {93},
}

Learning Time-Critical Responses for Interactive Character Control

Kyungho Lee, Sehee Min, Sunmin Lee, and Jehee Lee

ACM Transactions on Graphics (SIGGRAPH 2021)

Project Paper Code Video Bib

@article{Lee:2021:Agile,
  author = {Lee, Kyungho and Min, Sehee and Lee, Sunmin and Lee, Jehee},
  title = {Learning Time-Critical Responses for Interactive Character Control},
  journal = {ACM Trans. Graph.},
  volume = {40},
  number = {4},
  year = {2021},
  articleno = {147},
}

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)

Project Paper Code Video Bib

@article{Park:2019,
  author = {Park, Soohwan and Ryu, Hoseok and Lee, Seyoung and Lee, Sunmin and Lee, Jehee},
  title = {Learning Predict-and-Simulate Policies From Unorganized Human Motion Data},
  journal = {ACM Trans. Graph.},
  volume = {38},
  number = {6},
  year = {2019},
  articleno = {205},
}

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

Project Paper Bib

@article{datamine/JungLLK19,
  author = {Jung, Minsoo and Lim, Yongsub and Lee, Sunmin and Kang, U.},
  title = {{FURL:} Fixed-memory and uncertainty reducing local triangle counting
                 for multigraph streams},
  journal = {Data Min. Knowl. Discov.},
  volume = {33},
  number = {5},
  pages = {1225--1253},
  year = {2019},
  url = {https://doi.org/10.1007/s10618-019-00630-6},
  timestamp = {Mon, 12 Aug 2019 16:40:56 +0200},
  biburl = {https://dblp.org/rec/bib/journals/datamine/JungLLK19},
  bibsource = {dblp computer science bibliography, https://dblp.org},
}