Taehyun Byun

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taehyun-byun@korea.ac.kr

Ph.D Student, Dept. of Artificial Intelligence

Korea University

Hi, I’m Taehyun Byun
I’m a Ph.D. student in the Department of Artificial Intelligence at Korea University, working in the Robot Intelligence Lab. (RILAB) under the supervision of Professor Sungjoon Choi. Prior to my Ph.D., I earned my M.S. in Statistics, advised by Professor Myoungshic Jhun, and my B.S. in Information and Mathematics.

Research Interests
My work centers on developing theoretical generative frameworks that grant us precise control over continuous motion spaces. Rather than simply focusing on the output of generative algorithms, I explore the dynamics of motion synthesis in function spaces (such as Hilbert space-based approaches). By tackling low-level challenges like controllable motion in-betweening and human-to-humanoid retargeting, I investigate how abstract generative motion priors can be effectively constrained and grounded in physical robot systems.

news

2026 :tada: Our paper “Effective Evaluation of Exoskeleton Using Exo-Agnostic Uncertainty-Aware Classification Model with Wearable Sensors” has been accepted to ACM Augmented Humans (AHs) 2026 as a Poster!
2026 :tada: Our paper “Adaptive Hilbert Diffusion Models for Controllable Smoothness in Continuous Function Generation” has been accepted to Computational Visual Media! Check out the project page.
2026 :tada: Our paper “CLIP-Actor-X” has been accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)!

publications

  1. PR
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    Controllable Single Motion Synthesis
    Taehyun Byun, Sunwoo Kim, Minwook Chang, and Sungjoon Choi
    Pattern Recognition (IF: 7.6, 2025), 2026
    Under Revision
    Project Page
  2. CVM
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    Adaptive Hilbert Diffusion Models for Controllable Smoothness in Continuous Function Generation
    Taehyun Byun, Seulbi Lee, Kyungjae Lee, Sangheum Hwang, and Sungjoon Choi
    Computational Visual Media (IF: 18.3, 2024), 2026
    Accepted
    Project Page
  3. TPAMI
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    CLIP-Actor-X: Text-driven 4D Human Avatar Generation via Cross-modal Synthesis-through-Optimization
    Kim Youwang, Taehyun Byun, Kim Ji-Yeon, Sungjoon Choi, and Tae-Hyun Oh
    IEEE Transactions on Pattern Analysis and Machine Intelligence (IF: 18.6, 2024), 2026
  4. AHs
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    Effective Evaluation of Exoskeleton Using Exo-Agnostic Uncertainty-Aware Classification Model with Wearable Sensors
    Taehyun Byun, Chanwoo Kim, Bokman Lim, Sungho Suh, and Sungjoon Choi
    ACM Augmented Humans (AHs), 2026
    Poster
  5. IROS
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    Robust and Expressive Humanoid Motion Retargeting via Optimization-Based Rig Unification
    Taemoon Jeong, Taehyun Byun, Jihoon Kim, Keunjun Choi, Jaesung Oh, Sungpyo Lee, Omar Darwish, Joohyung Kim, and Sungjoon Choi
    In 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025
    Project Page
  6. RA-L
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    Towards Embedding Dynamic Personas in Interactive Robots: Masquerading Animated Social Kinematic (MASK)
    Jeongeun Park, Taemoon Jeong, Hyeonseong Kim, Taehyun Byun, Seungyoun Shin, Keunjun Choi, Jaewoon Kwon, Taeyoon Lee, Matthew Pan, and Sungjoon Choi
    IEEE Robotics and Automation Letters (IF: 4.6, 2024), 2024
  7. NeurIPS
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    Score-based generative modeling through stochastic evolution equations in hilbert spaces
    Sungbin Lim, Eun Bi Yoon, Taehyun Byun, Taewon Kang, Seungwoo Kim, Kyungjae Lee, and Sungjoon Choi
    Advances in Neural Information Processing Systems, 2023
  8. PR
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    Conditional motion in-betweening
    Jihoon Kim, Taehyun Byun, Seungyoun Shin, Jungdam Won, and Sungjoon Choi
    Pattern Recognition (IF: 8.518, 2021), 2022
    Project Page
  9. A Study of Correlation Curves Estimation
    Taehyun Byun and Myungshic Jhun
    Journal of The Korean Data Analysis Society, 2017