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ARNet:Attribute artifact reduction for G-PCC compressed point clouds

Junzhe Zhang Junteng Zhang Dandan Ding Zhan Ma

计算可视媒体（英文）2025，Vol.11Issue(2)：327-342,16.

计算可视媒体（英文）2025，Vol.11Issue(2)：327-342,16.DOI:10.26599/CVM.2025.9450380

ARNet:Attribute artifact reduction for G-PCC compressed point clouds

Junzhe Zhang ¹Junteng Zhang ¹Dandan Ding ²Zhan Ma³

作者信息

1. School of Information Science and Technology,Hangzhou Normal University,Hangzhou 310036,China
2. School of Information Science and Technology,Hangzhou Normal University,Hangzhou 310036,China||Zhejiang Provincial Key Laboratory of Information Processing,Communication,Hangzhou 310027,China
3. School of Electronic Science and Engineering,Nanjing University,Nanjing 210023,China
折叠

摘要

关键词

point cloud/attribute compression/sparse convolution/sample offset/linear coefficient

Key words

point cloud/attribute compression/sparse convolution/sample offset/linear coefficient

引用本文复制引用

Junzhe Zhang,Junteng Zhang,Dandan Ding,Zhan Ma..ARNet:Attribute artifact reduction for G-PCC compressed point clouds[J].计算可视媒体（英文）,2025,11(2):327-342,16.

基金项目

This research was supported by the National Natural Science Foundation of China under Grant No.62171174,National Key R&D Program of China under Grant No.2023YFC3706605,and the Open Project of Zhejiang Provincial Key Laboratory of Information Processing,Communication,and Networking. （）

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