Visual Media Lab · KAIST
M.S. Student · Graduate School of Culture Technology
KOCCA-funded national R&D · Multimodal 3D object and scene generation
📍 Daejeon, South Korea
M.S. student in Culture Technology at KAIST , working with the Visual Media Lab .
Hi! 👋
I'm an M.S. student in Culture Technology at KAIST and a member of the Visual Media Lab . My work explores how visual systems can represent geometry, motion, and physical contact to understand and generate dynamic 3D and 4D worlds.
I'm especially interested in models that remain grounded in spatial structure and physical interaction over time — qualities that make generated scenes more coherent, controllable, and useful.
My research journey began with applied computer vision and LLM-based knowledge extraction, including projects in medical imaging, deepfake detection, and urban perception. Before KAIST, I worked at the Qualcomm Institute , UC San Diego's division of Calit2, on machine learning for health-data prediction and detection.
My research spans 3D and 4D vision, generative video, human–object interaction, and controllable visual generation, with a focus on geometry- and contact-aware modeling.
M.S. Student · Graduate School of Culture Technology
KOCCA-funded national R&D · Multimodal 3D object and scene generationAI Research Intern
KOCCA-funded national R&D · Controllable 3D editing and reconstructionAI Research Intern · QI AI Development Project
Health-outcome prediction and detection · Python · KNIMEDeveloped controllable 3D editing methods and evaluated multimodal object and scene generation at KAIST Visual Media Lab.


Seokhyeon Hong, Hyunwoo Kwak, Chaelin Kim, Kwan Yun, Junhyuk Jeon, Junghyun Nam, Sola Kim, and Junyong Noh
Sola Kim, Jiseok Yoon, Daeun Jeong, Hoyoung Kim, and Seokheon Cho