Seok-Young Kim

Seok-Young Kim

Hello, I am Seokyoung Kim, a Master's student at the KAIST UVR Lab under the supervision of Prof. Woontack Woo.

My research focuses on understanding a user's physical-world through AR/AI glasses to build intelligent 3D spaces where reality and virtuality are seamlessly connected. In particular, I aim to build MR systems that enable anyone to edit and expand 3D scenes based on their intent, supporting interactive and immersive experiences in everyday life.

Mixed Reality Interactive 3D Reconstruction/Generation 3D Scene Understanding User-driven Spatial AI System Human-AI Interaction
Publications Curriculum Vitae
News
Jan. 2026
Our “SceneLinker” accepted to IEEE TVCG 2026 (Special Issue on the IEEE VR).
Nov. 2025
🎉 I successfully defended my Master's thesis!
Aug. 2025
Our “RealityCrafter” accepted to ACM UIST 2025 Adjunct.
July 2025
🏆 I received Best Paper Award at Korea Computer Congress (KCC 2025) for “Scene Graph Diffusion Transformer for Controllable 3D Virtual Scene Generation”.
Dec. 2024
🇩🇪 I started a visiting research at the Technical University of Munich (TUM), Computer Vision Group of the CAMP Chair, hosted by Dr. Benjamin Busam.
Mar. 2024
Joined the Ubiquitous Virtual Reality (UVR) Lab at KAIST as an M.S. student, advised by Prof. Woontack Woo
Education

KAIST

Mar 2024 - Present
M.S. in Graduate School of Metaverse
Advisor: Prof. Woontack Woo
Thesis: Object-level Interactive 3D Scene Generation from Physical-world Images in Mixed Reality

Technical University of Munich (TUM)

Dec 2024 - Feb 2025
Visiting Scholar
Computer Vision Group at the CAMP Chair hosted by Dr. Benjamin Busam
Topic: Controllable 3D Scene Generation from Scene Graph

Chonnam National University

Mar 2018 - Feb 2024
B.S. in Artificial Intelligence (Summa Cum Laude)
Advisor: Prof. Chansoo Kim
Publications
Paper Thumbnail
Zero-shot Interactive 3D Scene Reconstruction from a Single Image
Seok-Young Kim et al.
Under Review
Paper Thumbnail
SceneLinker: Compositional 3D Scene Generation via Semantic Scene Graph from RGB Sequences
Seok-Young Kim, Dooyoung Kim, Woojin Cho, Hail Song, Suji Kang, Woontack Woo
IEEE Transactions on Visualization and Computer Graphics (TVCG) 2026
Paper Project Page