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SUPPLEMENTARY MATERIAL FOR “UH-PCC: Unified octree and feature coding for hierarchical point cloud geometry compression”

DOI:
10.60864/kw7y-ev09
Citation Author(s):
Submitted by:
Anonymous Author(s)
Last updated:
4 June 2025 - 12:44pm
Document Type:
Supplementary
 

Point cloud compression is a critical component in 3D vision systems utilizing point cloud data to represent the physical world. Existing works on point cloud compression separately tackle Octree-based and Feature-based coding of point clouds despite their underlying similarities. In this work, we present UH-PCC, a unified hierarchical model for point cloud compression, that synergizes Octree-based and Feature-based coding under a single model with shared parameters via a Hierarchical Feature Coding (HFC) framework. The HFC is a conditional coder operating level-wise, supported by a novel hierarchical hyperprior model that eliminates the need for additional side-information. We also utilize a style control mechanism that enables fine-grain rate control without separate model parameters for different bitrates and allows seamless switching between inter- and intra-modes. Our proposal exhibits performance on par with the state-of-the-art methods.

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