Virtual memory for 3D Gaussian Splatting.

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Bibliographic Details
Title: Virtual memory for 3D Gaussian Splatting.
Authors: Haberl, Jonathan1 (AUTHOR) jonathan.haberl@alumni.tugraz.at, Fleck, Philipp1,2 (AUTHOR) philipp.fleck@tugraz.at, Arth, Clemens1,2 (AUTHOR) clemens.arth@tugraz.at
Source: Computers & Graphics. Jun2026, Vol. 137, pN.PAG-N.PAG. 1p.
Subjects: Virtual storage (Computer science), Rendering (Computer graphics), Three-dimensional imaging
Abstract: 3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices. [Display omitted] • A novel approach to virtual memory and Level of Detail (LOD) within 3D Gaussian Splatting (3DGS). • An implementation for preprocessing and real-time rendering using a modern rendering API. • An efficient method for rendering large scenes on mobiles. • A detailed evaluation of our approach on desktop and mobile devices. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices. [Display omitted] • A novel approach to virtual memory and Level of Detail (LOD) within 3D Gaussian Splatting (3DGS). • An implementation for preprocessing and real-time rendering using a modern rendering API. • An efficient method for rendering large scenes on mobiles. • A detailed evaluation of our approach on desktop and mobile devices. [ABSTRACT FROM AUTHOR]
ISSN:00978493
DOI:10.1016/j.cag.2026.104598