GRTX: Efficient Ray Tracing for 3D Gaussian-Based Rendering
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Abstract (arXiv)
3D Gaussian Splatting has gained widespread adoption across diverse applications due to its exceptional rendering performance and visual quality. While most existing methods rely on rasterization to render Gaussians, recent research has started investigating ray tracing approaches to overcome the fundamental limitations inherent in rasterization. However, current Gaussian ray tracing methods suffer from inefficiencies such as bloated acceleration structures and redundant node traversals, which greatly degrade ray tracing performance. In this work, we present GRTX, a set of software and hardware optimizations that enable efficient ray tracing for 3D Gaussian-based rendering. First, we introduce a novel approach for constructing streamlined acceleration structures for Gaussian primitives. Our key insight is that anisotropic Gaussians can be treated as unit spheres through ray space transformations, which substantially reduces BVH size and traversal overhead. Second, we propose dedicated hardware support for traversal checkpointing within ray tracing units. This eliminates redundant node visits during multi-round tracing by resuming traversal from checkpointed nodes rather than restarting from the root node in each subsequent round. Our evaluation shows that GRTX significantly improves ray tracing performance compared to the baseline ray tracing method with a negligible hardware cost.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 22 of its 59 references that are in the map. First posted on arXiv 28 Jan 2026.
Builds on
22 of 59 references.
References · 22
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- 2023Instant-3D: Instant Neural Radiance Field Training Towards On-Device AR/VR 3D Reconstructioncited by 51
- 2024EVER: Exact Volumetric Ellipsoid Rendering for Real-time View Synthesiscited by 48
10 more
- 2024Don't Splat your Gaussians: Volumetric Ray-Traced Primitives for Modeling and Rendering Scattering and Emissive Mediacited by 37
- 2024MetaSapiens: Real-Time Neural Rendering with Efficiency-Aware Pruning and Accelerated Foveated Renderingcited by 27
- 2024Cicero: Addressing Algorithmic and Architectural Bottlenecks in Neural Rendering by Radiance Warping and Memory Optimizationscited by 11
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- 2023Hardware Acceleration of Neural Graphicscited by 10
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- 2022RTNN: Accelerating Neighbor Search Using Hardware Ray Tracingcited by 4
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- 2025FlexNeRFer: A Multi-Dataflow, Adaptive Sparsity-Aware Accelerator for On-Device NeRF Renderingcited by 3
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Citing papers per year: 2026: 1.
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