mlsanityData to 14 Oct 2026

Optimizing 3D Gaussian Splattering for Mobile GPUs

arXiv 2511.16298 ↗First posted 20 Nov 2025cs.CV cs.GRcited by 2

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Abstract (arXiv)

Image-based 3D scene reconstruction, which transforms multi-view images into a structured 3D representation of the surrounding environment, is a common task across many modern applications. 3D Gaussian Splatting (3DGS) is a new paradigm to address this problem and offers considerable efficiency as compared to the previous methods. Motivated by this, and considering various benefits of mobile device deployment (data privacy, operating without internet connectivity, and potentially faster responses), this paper develops Texture3dgs, an optimized mapping of 3DGS for a mobile GPU. A critical challenge in this area turns out to be optimizing for the two-dimensional (2D) texture cache, which needs to be exploited for faster executions on mobile GPUs. As a sorting method dominates the computations in 3DGS on mobile platforms, the core of Texture3dgs is a novel sorting algorithm where the processing, data movement, and placement are highly optimized for 2D memory. The properties of this algorithm are analyzed in view of a cost model for the texture cache. In addition, we accelerate other steps of the 3DGS algorithm through improved variable layout design and other optimizations. End-to-end evaluation shows that Texture3dgs delivers up to 4.1× and 1.7× speedup for the sorting and overall 3D scene reconstruction, respectively -- while also reducing memory usage by up to 1.6× -- demonstrating the effectiveness of our design for efficient mobile 3D scene reconstruction.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 34 of its 72 references that are in the map. First posted on arXiv 20 Nov 2025.

Builds on

34 of 72 references.

References · 34

  1. 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,226
  2. 2022Instant Neural Graphics Primitives with a Multiresolution Hash Encodingcited by 3,723
  3. 2021Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fieldscited by 2,032
  4. 2021Plenoxels: Radiance Fields without Neural Networkscited by 1,613
  5. 2018MVSNet: Depth Inference for Unstructured Multi-view Stereocited by 788
  6. 2023LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPScited by 436
  7. 2023Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fieldscited by 364
  8. 2023DrivingGaussian: Composite Gaussian Splatting for Surrounding Dynamic Autonomous Driving Scenescited by 360
  9. 2023BakedSDF: Meshing Neural SDFs for Real-Time View Synthesiscited by 221
  10. 2024Mini-Splatting: Representing Scenes with a Constrained Number of Gaussianscited by 213
  11. 2024Taming 3DGS: High-Quality Radiance Fields with Limited Resourcescited by 204
  12. 2023EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingScited by 196
22 more
  1. 2017Learning a Multi-View Stereo Machinecited by 194
  2. 2023Compact 3D Scene Representation via Self-Organizing Gaussian Gridscited by 151
  3. 2022Vox-Fusion: Dense Tracking and Mapping with Voxel-based Neural Implicit Representationcited by 149
  4. 2019Point-Based Multi-View Stereo Networkcited by 147
  5. 2024HUGS: Holistic Urban 3D Scene Understanding via Gaussian Splattingcited by 142
  6. 2023CompGS: Smaller and Faster Gaussian Splatting with Vector Quantizationcited by 130
  7. 2022Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgerycited by 123
  8. 2024RadSplat: Radiance Field-Informed Gaussian Splatting for Robust Real-Time Rendering with 900+ FPScited by 113
  9. 2020PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruningcited by 76
  10. 2024End-to-End Rate-Distortion Optimized 3D Gaussian Representationcited by 75
  11. 2020MNN: A Universal and Efficient Inference Enginecited by 65
  12. 2021DNNFusion: Accelerating Deep Neural Networks Execution with Advanced Operator Fusioncited by 57
  13. 2022Enable Deep Learning on Mobile Devices: Methods, Systems, and Applicationscited by 32
  14. 2024Sort-free Gaussian Splatting via Weighted Sum Renderingcited by 29
  15. 2024GaussianSpa: An "Optimizing-Sparsifying" Simplification Framework for Compact and High-Quality 3D Gaussian Splattingcited by 29
  16. 2019MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processorscited by 27
  17. 2024EfficientGS: Streamlining Gaussian Splatting for Large-Scale High-Resolution Scene Representationcited by 27
  18. 2024DarkGS: Learning Neural Illumination and 3D Gaussians Relighting for Robotic Exploration in the Darkcited by 25
  19. 2025StochasticSplats: Stochastic Rasterization for Sorting-Free 3D Gaussian Splattingcited by 19
  20. 2024SmartMem: Layout Transformation Elimination and Adaptation for Efficient DNN Execution on Mobilecited by 12
  21. 2016A Memory Bandwidth-Efficient Hybrid Radix Sort on GPUscited by 4
  22. 2024SoD2: Statically Optimizing Dynamic Deep Neural Networkcited by 4

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 2.

2 papers.

  1. 2026PocketGS: On-Device Training of 3D Gaussian Splatting for High Perceptual Modelingcited by 2
  2. 2026Gaussian Splatting for Real-Time Scene Reconstruction: Methods, Systems, and Trade-offscited by 0