Kavli Affiliate: Wei Gao
| First 5 Authors: , , , ,
| Summary:
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.
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