Hyeonho Jeong

About Me

I am a graduate student at KAIST 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 CV for details.

I will be joining Adobe Research London (full-time research engineer) this summer!

News

[Dec. 2024] SMA is accepted to AAAI 2025.
[Nov. 2024] VMC was presented as an oral presentation at KCCV 2024, and won finalist award at Qualcomm Innovation Fellowship Award 2024.
[Jul. 2024] DreamMotion is accepted to ECCV 2024.
[Jul. 2024] I started a research internship with Adobe,
mentored by Duygu Ceylan, Chun-Hao Huang, and Niloy J. Mitra.
[Feb. 2024] VMC is accepted to CVPR 2024.
[Jan. 2024] Ground-A-Video is accepted to ICLR 2024.
[Aug. 2023] I Started M.S at KAIST Gradudate School of AI. (Advisor: Prof. Jong Chul Ye)

Publications

On Unifying Video Generation and Camera Pose Estimation

Chun-Hao P. Huang, Jae Shin Yoon, Hyeonho Jeong, Niloy J. Mitra, Duygu Ceylan
ArXiv 2025

arXiv Project

Track4Gen: Teaching Video Diffusion Models to Track Points Improves Video Generation

Hyeonho Jeong, Chun-Hao P. Huang, Jong Chul Ye, Niloy J. Mitra, Duygu Ceylan
ArXiv 2024

arXiv Project

AAAI

Spectral Motion Alignment for Video Motion Transfer using Diffusion Models

Geon Yeong Park*, Hyeonho Jeong*, Sang Wan Lee, Jong Chul Ye
The 39th Annual AAAI Conference on Artificial Intelligence
(AAAI 2025)

arXiv Project Code

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

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

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

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

Zero-shot Generation of Coherent Storybook from Plain Text Story using Diffusion Models

Hyeonho Jeong, Gihyun Kwon, Jong Chul Ye
ArXiv 2023

arXiv

Teaching

Teaching Assistant, Spring 2024, Generative Models and Unsupervised Learning (AI 618), KAIST