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Non-Uniform Quantisation for 3DGS Compression

arXiv · AI, language, vision and robotics · article · Aug 28, 2026 · UTC

3D Gaussian Splatting (3DGS) has emerged as a powerful technique for novel view synthesis, yet its high bitrate requirements pose significant challenges for storage and transmission. To enable practical applications and ensure interoperability within the 3DGS ecosystem, standardised compression formats are essential. In this paper, we propose a novel non-uniform quantisation scheme specifically tailored for 3DGS models. Our approach adapts to the underlying data distribution by applying importance-weighted quantisation and eliminating post-voxelisation redundancy through importance weighted me

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Evidence & attribution

arXiv · AI, language, vision and robotics · 2026-08-28T12:35:51.000Z

First collected: 2026-09-21T08:02:06.831Z. This is not the publication date.