Notice
We are recruiting student researchers for the Photorealistic Immersive Scene Media Laboratory (PRISM Lab.). [Lab Introduction Slides].
If you are interested, please contact jongbeomjeong@ksnu.ac.kr.
2026.02: Our lab member Seungmi Lee won the President’s Award at the 1st Hansung University Physical AI Hackathon! [News]
2026.01: Our standardization contribution was adopted at the 153rd MPEG standardization meeting. Our technology will be applied to TMCV, the candidate reference software for the MPEG Gaussian Splat Coding (GSC) standard. [News]
2026.01: Yuseong Choi from our lab was selected for the KSNU AIX-Boost program. He will receive KRW 1,000,000 in support during the project period.
2026.01: Our lab was awarded the KSNU R-Seed program (a sole award in the AI/SW field), and we will receive equipment support worth KRW 20,000,000. [News]
2025.10: Our lab was selected for the NIPA GPU support program. We can use NVIDIA H100 GPU resources (worth approximately KRW 40,000,000). [News]
Photorealistic Immersive Scene Media Laboratory (PRISM Lab.), Kunsan National University (KSNU)
PRISM Lab. aims to solve real-world problems across media capture, compression, transmission, and rendering for representing real spaces with high immersion by incorporating state-of-the-art AI technologies. Beyond conventional 2D media, photorealistic immersive media expanded to 3D can provide experiences that transcend time and space—not only for humans but also for robots and machines. To realize media that is difficult to distinguish from reality, many researchers continue to tackle diverse challenges. Our lab focuses on international standardization that can be adopted globally, while also building practical systems that address real needs.
Large-Scale Real-Space Acquisition
We study capture technologies to replicate large-scale spaces—such as buildings or entire campuses—into high-precision digital representations. We systematically combine multiple sensing modalities (LiDAR, multi-camera systems, drones, and more) to collect wide-area spatial data without missing regions. A key focus is automated preprocessing, including effective noise removal and precise alignment across different coordinate systems. Through this, we build high-resolution digital twins of large real spaces and secure high-quality, large-scale datasets that serve as the foundation for immersive media services.
Hyperimmersive 3D Real-Space Representation
We develop six degrees of freedom (6DoF) photorealistic representation technologies that allow users to move freely and observe a space from arbitrary viewpoints. Our research spans from traditional point cloud approaches to modern AI-based methods such as NeRF and 3D Gaussian Splatting (3DGS), which can reproduce textures and lighting with high fidelity. In particular, we work on advancing 3DGS and integrating AI to achieve both real-time rendering performance and photorealism. Our goal is to create next-generation visual technologies that deliver deep immersion—so that users feel as if they are truly on site.
MPEG Gaussian Splat Coding (GSC) Standardization
To enable interoperable and broadly usable next-generation 3D media, we actively participate in MPEG Gaussian Splat Coding (GSC) standardization. Since 3D Gaussian data is massive, innovative compression and efficient transmission technologies are essential. We research key technologies for coding and transport, focusing on practical streaming scenarios such as low-latency delivery and bitrate control algorithms driven by real-world requirements. By contributing to international standards, we aim to strengthen global competitiveness and help build a robust ecosystem for immersive media platforms.
Location
Kunsan National University (KSNU): (54150) Digital Information Bldg., Rm. 336, 558, Daehak-ro, Gunsan-si, Jeonbuk-do, South Korea