Cross-Space Alignment-based Attribute Artifact Removal for V-PCC

In this paper, we propose a cross-space alignment-based attribute artifact removal method for V-PCC. Firstly, we construct a cross-space frame alignment module to align the adjacent projected 2D frames based on the temporal continuity between the 3D point clouds. Then, we design a multi-frame fusion network that is developed based on U-Net to fuse the current frame with the aligned frames to remove the artifact that occurred in the attribute. Experimental results demonstrate that our proposed method achieves superior performance for the enhancement of point clouds.

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Publication Details

Published
2025-05-25
DOI
https://doi.org/10.1109/iscas56072.2025.11043854
Primary Topic
Advanced Data Storage Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Cross-Space Alignment-based Attribute Artifact Removal for V-PCC

Lihuo He, Siu-Kei Au Yeung, Mingfei Hu, Shuyuan Zhu et al.
Advanced Data Storage Technologies
article

Cross-Space Alignment-based Attribute Artifact Removal for V-PCC

Lihuo He, Siu-Kei Au Yeung, Mingfei Hu, Shuyuan Zhu, Yu Liu, Fan Zhang, Zeliang Li, Qiang Zhu
article en

Abstract

In this paper, we propose a cross-space alignment-based attribute artifact removal method for V-PCC. Firstly, we construct a cross-space frame alignment module to align the adjacent projected 2D frames based on the temporal continuity between the 3D point clouds. Then, we design a multi-frame fusion network that is developed based on U-Net to fuse the current frame with the aligned frames to remove the artifact that occurred in the attribute. Experimental results demonstrate that our proposed method achieves superior performance for the enhancement of point clouds.

Xidian University (CN), University of Electronic Science and Technology of China (CN), University of Bristol (GB)
Natural Science Foundation of Sichuan Province
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Openalex Percentile: Top 84%
Advanced Data Storage Technologies
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