Sangwon Jang
[Google Scholar] [CV]
Contact: sangwon.jang [at] kaist.ac.kr
About
I am a PhD student at KAIST (MLAI Lab), working under the supervision of Sung Ju Hwang.
My research focuses on computer vision and deep learning, particularly generative tasks using multimodal foundation models like text-to-video models. Currently, I’m interested video generative models and the applications of generative foundation models toward complex capabilities like world modeling as physical simulator and world action models (WAM).
Last updated: Feb. 21, 2026
Preprints (*: equal contribution / ^: equal advising)
Self-Refining Video Sampling[project] [paper] [code]
Sangwon Jang*, Taekyung Ki*, Jaehyeong Jo*, Saining Xie, Jaehong Yoon^, Sung Ju Hwang^
Preprint, 2026
[paper]
Hyomin Lee*, Minseon Kim*, Sangwon Jang, Jongheon Jeong, Sung Ju Hwang
Preprint, 2025
Publications
Avatar Forcing: Real-Time Interactive Head Avatar Generation for Natural Conversation[project] [paper] [code]
Taekyung Ki*, Sangwon Jang*, Jaehyeong Jo, Jaehong Yoon, Sung Ju Hwang
Conference on Computer Vision and Pattern Recognition, (CVPR), 2026
[project] [paper] [code]
Sangwon Jang*, Taekyung Ki*, Jaehyeong Jo, Jaehong Yoon, Soo Ye Kim, Zhe Lin, Sung Ju Hwang
International Conference on Learning Representations (ICLR), 2026
[project] [paper] [code]
Sangwon Jang, June Suk Choi, Jaehyeong Jo, Kimin Lee^, Sung Ju Hwang^
Conference on Computer Vision and Pattern Recognition, (CVPR), 2025
[project] [paper] [code]
Sangwon Jang*, Jaehyeong Jo*, Kimin Lee^, Sung Ju Hwang^
Conference on Neural Information Processing Systems (NeurIPS), 2024
[paper]
Jaewoong Lee*, Sangwon Jang*, Jaehyeong Jo, Jaehong Yoon, Yunji Kim, Jin-Hwa Kim, Jung-Woo Ha, Sung Ju Hwang
International Conference on Computer Vision (ICCV), 2023
