Hyeonho Jeong

About Me

I am a Research Engineer at Adobe Research. Prior to that, I received my M.S. degree at KAIST AI in Aug. 2025, advised by Prof. Jong Chul Ye. Previously, I obtained my B.S. degree in Computer Science at Sungkyunkwan University in Aug. 2023.

My research interests lies in improving controallability and efficiency for video synthesis (both generation and editing). Refer to my CV for details.

Adobe Research Internship: Looking for student interns for Adobe internship program. If you are interested, please do not hesitate to send me an email. And please also ensure that your supervisor is aware of your internship plans.

News

[Aug. 2025] After finishing my masters at KAIST AI, I joined Adobe Research.
[Jul. 2025] JOG3R is accepted to BMVC 2025.
[Jun. 2025] Reangle-A-Video is accepted to ICCV 2025.
[Feb. 2025] Track4Gen is accepted to CVPR 2025.
[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

ICCV

Reangle-A-Video: 4D Video Generation as Video-to-Video Translation

Hyeonho Jeong*, Suhyeon Lee*, Jong Chul Ye
International Conference on Computer Vision (ICCV), 2025

arXiv Project

BMVC

On Unifying Video Generation and Camera Pose Estimation

Chun-Hao P. Huang, Niloy J. Mitra, Hyeonho Jeong, Jae Shin Yoon, Duygu Ceylan
The 36th British Machine Vision Conference (BMVC), 2025

arXiv Project

CVPR

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
IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2025

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