标题： 用于3D高斯点云的高效几何压缩与通信 显示英文标题

标题： Efficient Geometry Compression and Communication for 3D Gaussian Splatting Point Clouds

摘要： 基于i3DV平台的动态3D场景表示中的存储和传输挑战，随着场景复杂度的增加，3D高斯数据量的爆炸性增长导致存储空间占用过大。为解决此问题，我们提出采用AVS PCRM参考软件对高斯点云几何数据进行高效压缩。该策略深度整合了AVS PCRM的先进编码能力，与基于二进制哈希表的原始率失真优化机制形成技术互补。一方面，哈希表高效缓存帧间高斯点变换关系，从而在40 Mbps带宽限制下实现高保真传输。另一方面，AVS PCRM对几何数据进行精确压缩。实验结果表明，联合框架在保持3D高斯技术快速渲染和高质量合成优势的同时，在通用测试集上实现了10%-25%的码率节省。它为3D体视频的存储、传输和交互提供了更优的率失真权衡解决方案。 显示英文摘要

摘要： Storage and transmission challenges in dynamic 3D scene representation based on the i3DV platform, With increasing scene complexity, the explosive growth of 3D Gaussian data volume causes excessive storage space occupancy. To address this issue, we propose adopting the AVS PCRM reference software for efficient compression of Gaussian point cloud geometry data. The strategy deeply integrates the advanced encoding capabilities of AVS PCRM into the i3DV platform, forming technical complementarity with the original rate-distortion optimization mechanism based on binary hash tables. On one hand, the hash table efficiently caches inter-frame Gaussian point transformation relationships, which allows for high-fidelity transmission within a 40 Mbps bandwidth constraint. On the other hand, AVS PCRM performs precise compression on geometry data. Experimental results demonstrate that the joint framework maintains the advantages of fast rendering and high-quality synthesis in 3D Gaussian technology while achieving significant 10\%-25\% bitrate savings on universal test sets. It provides a superior rate-distortion tradeoff solution for the storage, transmission, and interaction of 3D volumetric video.