About
I am a first-year Ph.D. student at Visual AI Lab at Yonsei University, advised by Prof. Hae-Gon Jeon. Previously, I received an M.S. in AI Convergence and a B.S. in EECS from GIST. Generative foundation models encode rich priors over images and videos, and my research focuses on leveraging these priors more effectively. In particular, I aim to design principled guidance and scaling strategies to improve generation quality. Beyond generation, I am also interested in adapting the priors of these models to downstream computer vision tasks. Recently, I have been particularly interested in (i) interactive long video generation and (ii) World Action Models (WAMs).
News
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[Sep. 2026]DyMoS has been accepted at NeurIPS 2026! See you in Sydney! 🎉
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[Jun. 2026]TriMotion has been accepted at ECCV 2026! See you in Malmö! 🎉
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[Mar. 2026]Successfully defended my M.S. at GIST and started my Ph.D. journey at Yonsei University! 🔥
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[Jan. 2026]Motion Prior Distillation has been accepted at ICLR 2026! See you in Rio! 🎉
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[Sep. 2024]Started my M.S. journey at GIST! 🔥
Publications
* indicates equal contribution. † indicates co-corresponding authors.
[P1] WeLike2Party! In-Context Motion Transfer for Multi-Human Image Animation
Sangeyl Lee, Seunghyun Shin, Seungho Park, Wooseok Jeon, Hae-Gon Jeon
arXiv preprint
[C3] Rebalancing Reference Frame Dominance to Improve Motion in Image-to-Video Models
Wooseok Jeon*, Seungho Park*, Seunghyun Shin, Sangeyl Lee, Hyeonho Jeong, Hae-Gon Jeon
Neural Information Processing Systems (NeurIPS), 2026
[C2] TriMotion: Modality-Agnostic Camera Control for Video Generation
Seunghyun Shin, Jifei Song, Wooseok Jeon, Hae-Gon Jeon†, Jiankang Deng†
European Conference on Computer Vision (ECCV), 2026
[C1] Motion Prior Distillation in Time Reversal Sampling for Generative Inbetweening
Wooseok Jeon, Seunghyun Shin, Dongmin Shin, Hae-Gon Jeon
International Conference on Learning Representations (ICLR), 2026
[P1] WeLike2Party! In-Context Motion Transfer for Multi-Human Image Animation
Sangeyl Lee, Seunghyun Shin, Seungho Park, Wooseok Jeon, Hae-Gon Jeon
[C3] Rebalancing Reference Frame Dominance to Improve Motion in Image-to-Video Models
Wooseok Jeon*, Seungho Park*, Seunghyun Shin, Sangeyl Lee, Hyeonho Jeong, Hae-Gon Jeon
[C2] TriMotion: Modality-Agnostic Camera Control for Video Generation
Seunghyun Shin, Jifei Song, Wooseok Jeon, Hae-Gon Jeon†, Jiankang Deng†
[C1] Motion Prior Distillation in Time Reversal Sampling for Generative Inbetweening
Wooseok Jeon, Seunghyun Shin, Dongmin Shin, Hae-Gon Jeon
Education
Yonsei University
Ph.D. in Artificial Intelligence Mar. 2026 - Present
Gwangju Institute of Science and Technology (GIST)
M.S. in AI Convergence Sep. 2024 - Feb. 2026
B.S. in Electrical Engineering and Computer Science Mar. 2019 - Aug. 2024
Vitæ
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Yonsei Univ Mar. 2026 - PresentPh.D.
Artificial Intelligence -
GIST Sep. 2024 - Feb. 2026M.S.
AI Convergence -
Korea Univ Sep. 2022 - Dec. 2022Exchange student
Fall Session -
UC Berkeley Jun. 2023 - Aug. 2023Exchange student
Summer Session -
GIST Mar. 2019 - Aug. 2024B.S.
Electrical Engineering and Computer Science