Virtual Memory for 3D Gaussian Splatting
원문 초록
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.
함께 살펴볼 논문
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Holistic Large-Scale Scene Reconstruction via Mixed Gaussian Splatting
ZPressor: Bottleneck-Aware Compression for Scalable Feed-Forward 3DGS
On-the-fly Reconstruction for Large-Scale Novel View Synthesis from Unposed Images
Triangle Splatting for Real-Time Radiance Field Rendering
APE: Selective Fine-tuning with Acceptance Criteria for Language Model Adaptation
토론
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