Jihyuk Park
Korea University · Computer Science
About the Lab
Professor Jihyuk Park's research lab specializes in physics-based simulation and deep learning for computer graphics and visualization, with a focus on accelerating high-resolution fluid simulations. The lab develops innovative machine learning techniques—particularly deep learning-based super-resolution methods—to enhance low-resolution fluid data efficiently, reducing computational cost and memory overhead. A key innovation involves spatial decomposition using quad trees to selectively process only relevant regions, improving performance and scalability. The lab also explores real-time simulation and rendering for applications in entertainment, scientific visualization, and virtual environments.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
1Physically-based fluid simulation takes a lot of time for high resolution. To solve this problem, there are studies that make up the limitation of low resolution fluid simulation by using deep running. Among them, Super-re solution, which converts low-resolution simulation data to high resolution is under way. However, traditional techniques require to the entire space where there are no density data, so there are problems that are inefficient in terms of the full simulation speed and that canno
Research Areas
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