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STREAMINGGS: Voxel-Based Streaming 3D Gaussian Splatting with Memory Optimization and Architectural Support

STREAMINGGS: Voxel-Based Streaming 3D Gaussian Splatting with Memory Optimization and Architectural Support

来源:Arxiv_logoArxiv
英文摘要

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 $\times$ speedup and 62.9 $\times$ energy savings over mobile Ampere GPUs.

Chenqi Zhang、Yu Feng、Jieru Zhao、Guangda Liu、Wenchao Ding、Chentao Wu、Minyi Guo

计算技术、计算机技术

Chenqi Zhang,Yu Feng,Jieru Zhao,Guangda Liu,Wenchao Ding,Chentao Wu,Minyi Guo.STREAMINGGS: Voxel-Based Streaming 3D Gaussian Splatting with Memory Optimization and Architectural Support[EB/OL].(2025-06-09)[2025-07-16].https://arxiv.org/abs/2506.09070.点此复制

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