Susung Hong
Welcome to my website! I am a Ph.D. student in GRAIL at the University of Washington, co-advised by Steve Seitz, Brian Curless, and Ira Kemelmacher-Shlizerman. My research interests lie in the foundations of generative AI, and its applications to producing immersive video/3D content.
I love cats, coffee (especially lattes), video games, cooking, and playing baseball. I enjoy learning new things beyond my research area.
If you are interested in collaboration or would like to learn more about my research, please connect:
News
I’ve joined Google as a PhD Student Researcher.
MusicInfuser has been accepted to CVPR 2026.
Our two papers, Perturb-and-Revise and Spatiotemporal Skip Guidance (STG) have been accepted to CVPR 2025.
Our two papers, Smoothed Energy Guidance (SEG) and Effective Rank Regularization for 3DGS have been accepted to NeurIPS 2024.
Selected Publications
Experience
Google | PhD Student Researcher
Generative media team
Adobe | Research Scientist Intern
Video diffusion previews (Mentors: Jui-Hsien Wang, Chongjian Ge, Zhifei Zhang)
UW GRAIL | Research Assistant
Immersive video/3D content production (Advisors: Steve Seitz, Brian Curless, Ira Kemelmacher-Shlizerman)
NAVER | Research Intern
Effective rank regularization for 3DGS and generative relighting (Mentor: Jin-Hwa Kim)
UW GRAIL | Undergraduate Research Assistant
Flexible 3D editing with generative trajectories (Advisor: Ira Kemelmacher-Shlizerman, Ricardo Martin-Brualla, Johanna Karras)
Twelve Labs | ML Research Intern
Video-language model agents and high-quality dataset (Mentor: Minjoon Seo)
CVLAB | Undergraduate Research Assistant
Image, 3D, video generation, and neural fields (Advisor: Seungryong Kim)