I am a Ph.D. candidate in Scalable Graphics, Vision, and Robotics (SGVR) Lab at KAIST advised by Prof. Sung-Eui Yoon. I received my M.S. degree in Artificial Intelligence from KAIST and received my B.S. degree in Artificial Intelligence and Mechanical Engineering from SungKyunKwan University in 2022. My research lies at the intersection of 3D vision and computer vision, with a particular interest in generating 3D scenes. This work aims to generate realistic 3D scenes, which can be utilized in various applications such as autonomous driving and virtual simulations. Building on my current work, I aim to develop models that not only generate 3D scenes with temporal consistency but also function as world models.
jmlee [at] kaist.ac.kr
291 Daehak-ro, Yuseong-gu, Daejeon, Korea
Research Intern, Robot Vision & Learning Team, NAVER Labs
Nov. 2024 – May. 2025
B.S. in Artificial Intelligence and Mechanical Engineering, SungKyunKwan University
Sep. 2017 - Feb. 2022
SHARE: Bridging Shape And Ray Estimation for Pose-Free Generalizable Gaussian Splatting
ICIP 2025
Diffusion Probabilistic Models for Scene-Scale 3D Categorical Data
IPIU 2023 Oral paper