Presentation
StreamingGS: Voxel-Based Streaming 3D Gaussian Splatting with Memory Optimization and Architectural Support
Description3D 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.
Event Type
Research Manuscript
TimeWednesday, June 252:00pm - 2:15pm PDT
Location3000, Level 3


