Overview and Comparison of AVS Point Cloud Compression Standard
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| Format: | Preprint |
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2026
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| author | Gao, Wei Gao, Wenxu Mu, Xingming Peng, Changhao Li, Ge |
| author_facet | Gao, Wei Gao, Wenxu Mu, Xingming Peng, Changhao Li, Ge |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_08613 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Overview and Comparison of AVS Point Cloud Compression Standard Gao, Wei Gao, Wenxu Mu, Xingming Peng, Changhao Li, Ge Computer Vision and Pattern Recognition 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. |
| title | Overview and Comparison of AVS Point Cloud Compression Standard |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2602.08613 |