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English(EN) Unfolding 3D Gaussian Splatting via Iterative Gaussian Synopsis

新方法应对3D高斯泼溅存储挑战 · 2篇论文

两篇新研究论文解决了降低3D高斯泼溅(3DGS)模型存储需求方面的挑战。第一篇ClunoGS提出了一个统一的优化框架,结合了语义感知高斯稀疏化和向量量化,以在激进压缩下保持渲染质量和语义准确性。第二篇迭代高斯概要(Iterative Gaussian Synopsis)引入了一种自顶向下的“展开”方案,通过自适应剪枝和共享锚点码本,从全分辨率3DGS表示中逐步推导出更粗糙的细节层次(LOD)模型。这两种方法都旨在通过显著减小模型尺寸同时保持视觉保真度,使3DGS在资源受限的环境中更易于部署。 AI

影响 这些进展可能使高保真3D场景表示在内存和带宽受限的应用中得到更广泛的部署。

排序理由 两篇学术论文发表在arXiv上,详细介绍了优化3D高斯泼溅模型的新方法。

在 arXiv cs.CV 阅读 →

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新方法应对3D高斯泼溅存储挑战 · 2篇论文

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两篇学术论文发表在arXiv上,详细介绍了优化3D高斯泼溅模型的新方法。
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报道来源 [2]

  1. arXiv cs.CV TIER_1 English(EN) · Jian Xu, Yi Li, Ying Huang, Siyi Wu, Bingzhe Li, Yuede Ji, Miao Yin ·

    ClunoGS: Compact Language 3D Gaussian Splatting via Unified Optimization

    arXiv:2610.30013v1 Announce Type: new Abstract: Language 3D Gaussian Splatting enables open-vocabulary scene understanding by associating Gaussian primitives with language features. These semantic attributes increase model storage, while most existing 3DGS compression methods are…

  2. arXiv cs.CV TIER_1 English(EN) · Yuqin Lu, Yihua Dai, Yang Zhou, Guiqing Li, Shengfeng He ·

    Unfolding 3D Gaussian Splatting via Iterative Gaussian Synopsis

    arXiv:2604.11685v2 Announce Type: replace Abstract: 3D Gaussian Splatting (3DGS) has become a state-of-the-art framework for real-time, high-fidelity novel view synthesis. However, its substantial storage requirements and inherently unstructured representation pose challenges for…