Overview and Comparison of AVS Point Cloud Compression Standard

2026-02-09

APSIPA Transactions on Signal and Information Processing

AI Summary

This work addresses the challenge posed by the massive data volume of point clouds, which hinders their deployment in immersive media and autonomous driving applications. The study provides a systematic analysis of AVS PCC, the first point cloud compression standard developed by China’s AVS Working Group, with a focus on its innovative coding tools that distinguish it from MPEG’s G-PCC and V-PCC standards. AVS PCC integrates key techniques including joint geometry and attribute coding, video-based projection compression, octree structures, and adaptive prediction. These innovations collectively achieve significant gains in compression efficiency while preserving reconstruction quality. By establishing a point cloud compression framework based on independent intellectual property, this standard lays a critical foundation for the industrial adoption of domestically developed point cloud codecs.

Technology Category

• Computer Vision: 3D Computer Vision
• Data Mining & Knowledge Management: Data Compression
• Machine Learning: Learning on the Edge & Model Compression

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Data management and stream processing for Web, mobile and wireless applications
• User Modeling, Personalization and Recommendation: On-Device user modeling, personalization, and recommendation
• Security and Privacy: Large-scale security measurements

Abstract

Point cloud is a prevalent 3D data representation format with significant application values in immersive media, autonomous driving, digital heritage protection, etc. However, the large data size of point clouds poses challenges to transmission and storage, which influences the wide deployments. Therefore, point cloud compression plays a crucial role in practical applications for both human and machine perception optimization. To this end, the Moving Picture Experts Group (MPEG) has established two standards for point cloud compression, including Geometry-based Point Cloud Compression (G-PCC) and Video-based Point Cloud Compression (V-PCC). In the meantime, the Audio Video coding Standard (AVS) Workgroup of China also have launched and completed the development for its first generation point cloud compression standard, namely AVS PCC. This new standardization effort has adopted many new coding tools and techniques, which are different from the other counterpart standards. This paper reviews the AVS PCC standard from two perspectives, i.e., the related technologies and performance comparisons.

Problem

• point cloud compression
• data size
• transmission
• storage
• standardization

Innovation

• AVS PCC
• point cloud compression
• coding tools
• human and machine perception
• standardization