STREAMINGGS: Voxel-Based Streaming 3D Gaussian Splatting with Memory Optimization and Architectural Support
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Abstract (arXiv)
3D Gaussian Splatting (3DGS) has gained popularity for its efficiency and sparse Gaussian-based representation. However, 3DGS struggles to meet the real-time requirement of 90 frames per second (FPS) on resource-constrained mobile devices, achieving only 2 to 9 FPS.Existing accelerators focus on compute efficiency but overlook memory efficiency, leading to redundant DRAM traffic. We introduce STREAMINGGS, a fully streaming 3DGS algorithm-architecture co-design that achieves fine-grained pipelining and reduces DRAM traffic by transforming from a tile-centric rendering to a memory-centric rendering. Results show that our design achieves up to 45.7 × speedup and 62.9 × energy savings over mobile Ampere GPUs.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 13 of its 28 references that are in the map. First posted on arXiv 9 Jun 2025.
Builds on
13 of 28 references.
References · 13
- 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,226
- 2021Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fieldscited by 1,964
- 2020Neural Sparse Voxel Fieldscited by 959
- 2023LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPScited by 436
- 2023Compact 3D Gaussian Representation for Radiance Fieldcited by 372
- 2024A Survey on 3D Gaussian Splattingcited by 224
- 2024Mini-Splatting: Representing Scenes with a Constrained Number of Gaussianscited by 213
- 2024Recent Advances in 3D Gaussian Splattingcited by 131
- 2021DeepScaleTool : A Tool for the Accurate Estimation of Technology Scaling in the Deep-Submicron Eracited by 30
- 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
- 2025SeeLe: A Unified Acceleration Framework for Real-Time Gaussian Splattingcited by 9
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Citing papers per year: 2026: 3.
3 papers.
- 2026Splaxel: Efficient Distributed Training of 3D Gaussian Splatting for Large-scale Scene Reconstruction via Pixel-level Communicationcited by 1
- 2026RoofGS: Roofline-Guided End-to-End Acceleration of 3D Gaussian Splattingcited by 0
- 2026From Splats to Silicon: Rethinking Computational Efficiency of 3DGScited by 0
- 2026From Splats to Silicon: Rethinking Computational Efficiency of 3DGS5 Sep 2026
- 2026RoofGS: Roofline-Guided End-to-End Acceleration of 3D Gaussian Splatting16 Aug 2026
- 2026Splaxel: Efficient Distributed Training of 3D Gaussian Splatting for Large-scale Scene Reconstruction via Pixel-level Communication17 Jun 2026