SeungJeh Chung

About Me

I am a Ph.D. student in the Department of Software Convergence at Kyung Hee University and a member of IIIXR Lab at Korea University. My research focuses on efficient 3D generation, neural rendering, and 3D Gaussian Splatting under generative supervision.

I work on compact 3D representations, 3D Gaussian densification, diffusion/flow-based generative priors, and hybrid neural rendering with physically based global illumination.

Advisor: Prof. HyeongYeop Kang
Location: Seoul, Republic of Korea
ORCID: 0009-0000-5306-6896
Lab: IIIXR Lab

Research Interests

• 3D Gaussian Splatting: compact representations, densification, generative distillation
• Diffusion and Flow Matching Models: generative supervision and 3D priors
• Neural Rendering: efficient rendering and physically based global illumination
• 3D Generation, 3D Stylization, Extended Reality

Research Highlights

• Compact 3D Gaussian densification for generative distillation.
• Efficient 3D generation with Gaussian representations and diffusion/flow-based priors.
• Hybrid neural rendering with physically based global illumination.

News

• [2026] CAdam accepted to ACM SIGGRAPH Conference Papers.
• [2024] 3DStyleGLIP appeared at Pacific Graphics.
• [2023] VRCAT appeared in The Visual Computer.

Education

• Integrated M.S./Ph.D. Program, Department of Software Convergence, Kyung Hee University, Mar. 2021 - Present
• B.S., Department of Software Convergence, Kyung Hee University, Mar. 2017 - Feb. 2021

Skills

• Programming: Python, C++, CUDA/PyTorch
• Graphics/3D Tools: Blender, Unity, OpenGL, 3D Gaussian Splatting pipelines
• Research Areas: 3D Gaussian Splatting, diffusion/flow matching models, neural rendering

Publications

Teaching & Service

Academic Service

• Future Faculty Forum Chair, IEEE VR 2026

Teaching

• Teaching Assistant, Computer Graphics, Kyung Hee University

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