논문 이미지

Jeonghwan Kim

AI Researcher / Ph.D Student @ NTU

I'm a Ph.D. student at MMLab, Nanyang Technological University (NTU), advised by Prof. Xingang Pan. I completed my M.S. in Artificial Intelligence at Konkuk University, where I was advised by Prof. Wonjun Kim. Throughout my research journey, I have primarily focused on 3D Vision and related areas in computer vision.

News

  • One paper has accepted in 2026 3DV
  • One paper has accepted in Multimedia System
  • One paper has accepted in 2023 CVPR
  • One paper has accepted in Journal of Visual Communication and Image Representation
  • Reviewer Services:
    Conference: CVPR 2026, 3DV 2026, ACM SIGGRAPH Asia 2025
    Journal: ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), The Journal of Supercomputing, IEEE Transactions on Information Forensics and Security (T-IFS)

    • Publication

    2025
    FastMesh: Efficient Artistic Mesh Generation
    via Component Decoupling
    J. Kim, Y. Lan, A. Fortes, Y. Chen, X. Pan.
    International Conference on 3D Vision, 2026.
    Project Page arXiv Code
    PointHMR
    2023
    Sampling is Matter: Point-guided 3D Human Mesh Reconstruction
    J. Kim*, M. Gwon*, H. Park, H. Kwon, G. Um, W. Kim.
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
    Paper arXiv Code
    PointHMR
    2024
    Learning Scale-aware Relationships via Laplacian Decomposition-based Transformer for 3D Human Pose Estimation
    J. Kim, H. Kwon, S. Y. Lim, W. Kim.
    Multimedia Systems, vol. 30, Jan., 2024
    Paper Code
    PointHMR
    2023
    Part-attentive Kinematic Chain-based Regressor for 3D Human Modeling
    J. Kim, G. Um, J. Seo, W. Kim.
    Journal of Visual Communication and Image Representation, vol. 95, Sep., 2023
    Paper Code

    Research Experience

    Spocklabs, Research engineer

    Research on Video Frame Interpolation and Video Super Resolution

    Electronics and Telecommunications Research Institute (ETRI)

    A Study on 3D Information Acquisition Technology for Producing Volumetric Images

    National Research Foundation of Korea (NRF)

    High-Performance Method for Image Enhancement via Deep Neural Network on Mobile Devices

    Korea Institute of Science and Technology Information (KISTI)

    Development of Deep Learning-Based Image Restoration Technology

    N Tech Service, Intern

    Trained in JAVA Spring-based web development techniques and learned how to write collaborative and comprehensible codes

    © 2025 Jeonghwan Kim. All rights reserved.