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I am an undergraduate student (Class of 2020) in the School of Software Convergence at Kyung Hee University.
My research interests lie in computer graphics, computer vision, and motion reconstruction.
I am particularly interested in topics such as:
- 3-point tracking for human motion estimation
- Full-body motion reconstruction from sparse signals
- Environment-aware human motion modeling
- Mixed Reality (AR/VR) systems and interaction
My current goal is to understand emerging techniques in environment-aware motion AI, including diffusion-based motion synthesis, 3D scene understanding, and reconstruction pipelines involving Gaussian Splatting and SLAM-driven perception.
You can view my CV here:
👉 Coming soon
Education
- B.S. in Software Convergence, Kyung Hee University, 2020–Present
Research Interests
- Computer Graphics
- 3D Human Modeling
- Motion Reconstruction
- Vision-Based Tracking
- Mixed Reality (AR/VR)
My research focuses on understanding and reconstructing human motion using minimal sensors and environmental context.
I am actively exploring:
- Diffusion models for full-body motion generation (e.g., S2Fusion, SKEL, EnvAware models)
- Gaussian Splatting for real-time environment capture
- SLAM-based scene understanding for motion grounding
- VR/AR interfaces for motion guidance and analysis
I aim to develop robust pipelines for reconstructing realistic and physically-consistent human motion from sparse observations, enabling applications in VR, AR, sports analysis, and human-computer interaction.
