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Hello! I’m Hyeonho Jeong.
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Currently in Adobe Research as a full-time Research Engineer
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Interested in solving video generative tasks using Diffusion Models.
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Open to collaborate on any research projects or join study groups, especially those aligned with my field of interest.
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Feel free to reach out to me at hyeonhoj(at)adobe.com or drake6751(at)gmail.com
Recent papers
[BMVC 2025] JOG3R: Towards 3D-Consistent Video Generators
Chun-Hao P. Huang, Niloy J. Mitra, Hyeonho Jeong, Jae Shin Yoon, Duygu Ceylan
Paper | Project
[ICCV 2025] Reangle-A-Video: 4D Video Generation as Video-to-Video Translation
Hyeonho Jeong*, Suhyeon Lee*, Jong Chul Ye
Paper | Project
[CVPR 2025] 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
Paper | Project
[AAAI 2025] Spectral Motion Alignment for Video Motion Transfer using Diffusion Models
Geon Yeong Park*, Hyeonho Jeong*, Sang Wan Lee, Jong Chul Ye
Paper | Project
[ECCV 2024] DreamMotion: Space-Time Self-Similar Score Distillation for Zero-Shot Video Editing
Hyeonho Jeong, Jinho Chang, Geon Yeong Park, Jong Chul Ye
Paper | Project
[CVPR 2024] VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models
Hyeonho Jeong*, Geon Yeong Park*, Jong Chul Ye
Paper | Project
[ICLR 2024] Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models
Hyeonho Jeong, Jong Chul Ye
Paper | Project
[ICASSP 2024] Neural Network Training Strategy to Enhance Anomaly Detection Performance: A Perspective on Reconstruction Loss Amplification
YeongHyeon Park, Sungho Kang, Myung Jin Kim, Hyeonho Jeong, Hyunkyu Park, Hyeong Seok Kim, Juneho Yi
Paper
Zero-shot Generation of Coherent Storybook from Plain Text Story using Diffusion Models
Hyeonho Jeong, Gihyun Kwon, Jong Chul Ye
Paper