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Jaehyeok Kim

I'm a Ph.D. student at Hong Kong University of Science and Technology (HKUST) advised by Prof. Dan Xu, with Hong Kong PhD Fellowship. I received my Bachelor's degree in Computer Science also from HKUST with Academic Achievement Medal (Summa Cum Laude equivalent). I was fortunate to work as a research intern at Naver Clova.

My research interests lie in computer vision, deep learning, and dynamic human & scene modeling with 3D representations like NeRF or 3DGS.

Email  /  Scholar  /  X (Twitter)  /  Github

News!

  • 26 June, 2025: One paper accepted at ICCV 2025!
  • 01 July, 2024: One paper accepted at ECCV 2024. Appreciate Prof. Dan Xu's great help.
  • Publication

    From One to More: Contextual Part Latents for 3D Generation
    Shaocong Dong*, Lihe Ding*, Xiao Chen, Yaokun Li, Yuxin Wang, Yucheng Wang, Qi Wang, Jaehyeok Kim, Chenjian Gao, Zhanpeng Huang, Zibin Wang, Tianfan Xue, Dan Xu
    ICCV 2025
    project page / arXiv / GitHub

    CoPart is a part-based 3D generation framework that uses contextual part latents and a mutual guidance strategy to enable coherent, controllable 3D object creation with fine-grained part-level conditioning.

    MoCo-NeRF: Motion-Oriented Compositional Neural Radiance Fields for Monocular Dynamic Human Modeling
    Jaehyeok Kim, Dongyoon Wee, Dan Xu
    ECCV 2024
    project page / arXiv

    Modeling non-rigid motions of dynamic humans as radiance residuals reduces learning complexity and enhances rendering quality, allowing for efficient and accurate reconstruction of detailed cloth dynamics.

    Activities

  • Conference Reviewer: ICCV, ACM MM
  • Teaching

  • Teaching Assistant: Deep Perception, Localization, and Planning for Autonomous Vehicles @ HKUST in Spring 2023
  • Teaching Assistant: Deep 2D and 3D Visual Scene Understanding @ HKUST in Spring 2024

  • Source code from Jon Barron.