@inproceedings{e5254d40f3644bc2917eb49dead742a3,
title = "Cross-Space Alignment-based Attribute Artifact Removal for V-PCC",
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.",
keywords = "alignment, artifact removal, attribute, Point cloud, video-based point cloud compression",
author = "Yu Liu and Mingfei Hu and Qiang Zhu and Zeliang Li and Yeung, \{Siu Kei Au\} and Shuyuan Zhu and Lihuo He and Fan Zhang",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 IEEE International Symposium on Circuits and Systems, ISCAS 2025 ; Conference date: 25-05-2025 Through 28-05-2025",
year = "2025",
doi = "10.1109/ISCAS56072.2025.11043854",
language = "English",
series = "Proceedings - IEEE International Symposium on Circuits and Systems",
booktitle = "ISCAS 2025 - IEEE International Symposium on Circuits and Systems, Proceedings",
}