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About this paper
Markus Schlüter, Tom Kwasnitschka, Armin Bernstetter, Jens Karstens
Researchers at GEOMAR Helmholtz Centre for Ocean Research Kiel surveyed and evaluated volume rendering techniques in Unreal Engine 5 for scientific visualization. Their work adapted UE5 to handle large volumetric datasets, successfully rendering a 5.9 gigavoxel seismic dataset at interactive frame rates (18-22 FPS) by combining Sparse Volume Textures and Heterogeneous Volumes, alongside custom engine modifications to overcome limitations.
Key insights
- Sparse Volume Textures (SVT) combined with Heterogeneous Volumes in Unreal Engine 5 offer the most effective approach for interactively visualizing large scientific volumetric datasets.
- Unreal Engine 5's native limitations, such as integer overflow issues with large textures, can be overcome through targeted modifications to the engine's source code, enhancing its scientific utility.
- Chunking strategies and careful coordinate transformations are essential for handling datasets that exceed UE5's single-volume texture addressing limits, even with SVTs.
Summary by alphaXiv.
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