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

As dynamic 3D scene representations grow increasingly complex, the exponential expansion of 3D Gaussian data creates significant storage and transmission bottlenecks, resulting in excessive memory demands. 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. Experiment demonstrate that the 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 dataset. It provides a superior rate-distortion tradeoff solution for the transmission and interaction of volumetric video.