I am currently fulfilling my alternative military service as an Algorithm Engineer at GenGenAI, where I focus on generating synthetic data with 3D.
My research focuses on the intersection of 3D computer vision and generative models, developing methods to create realistic synthetic data for downstream tasks.
I completed my M.S at Seoul National University
and my B.A. at the University of Virginia
both in computer science. During my M.S, I was fortunate to be part of the Visual Computing Lab under the supervision of
Hanbyul Joo.
Previously, I have worked at SECERN AI, working on Animatable 3D Human Avatars.
A System for Collecting Pseudo Ground Truth 3D Hand Poses to Improve Pose Estimation Models
Opensource
Single Image to 3D Human Avatar SECERN AI May 2025 Code
- Official Implementation of the paper SVAD
- Synthetic Data Generation Pipeline for 3DGS Avatar Training
Facebuilder SECERN AI March 2025 Code
- 3D Face Mesh Deformation with Pin-Based Interaction
- Multiview Face Modeling with Real-time 3D Consistency
Multiview X-Ray 3D Object Detector SECERN AI Dec 2024 Code
- 9-view Fanbeam Calibration
- X-Ray Hazardous Objection Detection
- 3D Bounding Box Detection
SMPL Fitting SECERN AI June 2024 Code
- Fitting SMPL Parameters to 3D Human Joints
- Parametric Human Shape and Pose Optimization
Egocentric Human Pose Estimator Visual Computing Lab December 2023 Code
- Unofficial Implementation of the Paper xR-EgoPose
- Egocentric 3D Human Pose Estimation from a Single Fisheye Camera
Multiview Human Pose Capture System Visual Computing Lab April 2022 Code
- 5 GoPro Camera Setup for 3D Human Reconstruction
- Camera Calibration with Zhang's Method
Work Experience
GenGenAI Algorithm Engineer September 2025 - Present
- 3D World Model for Synthetic Data Generation
SECERN AI Research Engineer March 2024 - September 2025
- Animatable 3D Human Avatars
Visual Computing Lab Graduate Researcher November 2021 - Feburary 2024
- 3D Egocentric Hand, Body Pose Estimation
- Multiview Capture System for Human Pose Estimation
