avatar

Hyeonho Jeong

M.S. Student @ KAIST
Intern @ Adobe Research
hyeonho.jeong (at) kaist.ac.kr


About Me

I am a second-year M.S. student at KAIST Graduate School of AI, advised by Prof. Jong Chul Ye. Before that, I received my B.S. degree in Computer Science at Sungkyunkwan University in Aug. 2023.

My research interests lies in Controllable Video Generation and Editing. I am also broadly interested in generative modeling across various modalities (image, video, 3D, 4D) using diffusion models.
Refer to my Curriculum Vitae for details.

News

Publications

  1. Spectral Motion Alignment for Video Motion Transfer using Diffusion Models
    Geon Yeong Park*, Hyeonho Jeong*, Sang Wan Lee, Jong Chul Ye
    ArXiv 2024
    arXiv Project

  2. ECCV
    DreamMotion: Space-Time Self-Similar Score Distillation for Zero-Shot Video Editing
    Hyeonho Jeong, Jinho Chang, Geon Yeong Park, Jong Chul Ye
    The 18th European Conference on Computer Vision (ECCV), 2024
    arXiv Project

  3. CVPR
    VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models
    Hyeonho Jeong*, Geon Yeong Park*, Jong Chul Ye
    IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024
    arXiv Project Code Data

  4. ICLR
    Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models
    Hyeonho Jeong, Jong Chul Ye
    International Conference on Learning Representations (ICLR), 2024
    arXiv Project Code

  5. ICASSP
    Neural Network Training Strategy to Enhance Anomaly Detection Performance
    YeongHyeon Park, Sungho Kang, Myung Jin Kim, Hyeonho Jeong, Hyunkyu Park, Hyeong Seok Kim, Juneho Yi
    International Conference on Acoustics, Speech, & Signal Processing (ICASSP), 2024
    arXiv

  6. Zero-shot Generation of Coherent Storybook from Plain Text Story using Diffusion Models
    Hyeonho Jeong, Gihyun Kwon, Jong Chul Ye
    ArXiv 2023
    arXiv

Teaching


Powered by Jekyll and Minimal Light theme.