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English(EN) Non-Uniform Quantisation for 3DGS Compression

新的非均匀量化方法针对 MPEG 标准的 3DGS 压缩

研究人员开发了一种新的非均匀量化方法来压缩 3D 高斯泼溅 (3DGS) 模型,以解决其存储和传输的高比特率要求。该方法利用了重要性加权量化和冗余消除来提高压缩性能。所提出的方案旨在与各种点云表示兼容,并旨在在动态图像专家组 (MPEG) 中实现 3DGS 压缩的标准化。 AI

影响 这项压缩技术可以促进 3D 高斯泼溅模型在各种应用中的广泛采用和互操作性。

排序理由 这是一篇详细介绍压缩特定类型 3D 图形模型的新技术方法的论文。[lever_c_demoted from research: ic=1 ai=0.4]

在 arXiv cs.CV 阅读 →

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新的非均匀量化方法针对 MPEG 标准的 3DGS 压缩

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这是一篇详细介绍压缩特定类型 3D 图形模型的新技术方法的论文。[lever_c_demoted from research: ic=1 ai=0.4]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Bert Van hauwermeiren, Patrice Rondao Alface, Adrian Munteanu ·

    3DGS压缩的非均匀量化

    arXiv:2608.28272v1 Announce Type: new Abstract: 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 inter…