hyeonho99 / video-motion-customization

VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models (CVPR 2024)

• Hello! I’m Hyeonho Jeong.

• Currently pursuing M.S. at KAIST (now in my 2nd semester).

• Deeply interested in solving video generative tasks using Diffusion Models.

• Eager to collaborate on any research projects or join study groups, especially those aligned with my field of interest.

• Freqeuntly seeking corporate internship opportunities.

• Feel free to reach out to me at [email protected] or [email protected]

---

Recent papers

Spectral Motion Alignment for Video Motion Transfer using Diffusion Models
Geon Yeong Park*, Hyeonho Jeong*, Sang Wan Lee, Jong Chul Ye
Paper | Project

DreamMotion: Space-Time Self-Similarity 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