WebSplatter: Enabling Cross-Device Efficient Gaussian Splatting in Web Browsers via WebGPU
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Abstract (arXiv)
We present WebSplatter, an end-to-end GPU rendering pipeline for the heterogeneous web ecosystem. Unlike naive ports, WebSplatter introduces a wait-free hierarchical radix sort that circumvents the lack of global atomics in WebGPU, ensuring deterministic execution across diverse hardware. Furthermore, we propose an opacity-aware geometry culling stage that dynamically prunes splats before rasterization, significantly reducing overdraw and peak memory footprint. Evaluation demonstrates that WebSplatter consistently achieves 1.2× to 4.5× speedups over state-of-the-art web viewers.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 8 of its 43 references that are in the map. First posted on arXiv 3 Feb 2026.
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References · 8
- 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,141
- 2022Instant Neural Graphics Primitives with a Multiresolution Hash Encodingcited by 3,698
- 2023Compact 3D Gaussian Representation for Radiance Fieldcited by 365
- 2025DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generationcited by 49
- 2023DISTWAR: Fast Differentiable Rendering on Raster-based Rendering Pipelinescited by 35
- 2024AdR-Gaussian: Accelerating Gaussian Splatting with Adaptive Radiuscited by 34
- 2016A Memory Bandwidth-Efficient Hybrid Radix Sort on GPUscited by 4
- 2024WebGPU-SPY: Finding Fingerprints in the Sandbox through GPU Cache Attackscited by 2
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