TY - GEN
T1 - Occupancy Map Guided Attributes Deblocking for Video-based Point Cloud Compression
AU - Chen, Peilin
AU - Wang, Shiqi
AU - Li, Zhu
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Point clouds offer the realistic three-dimensional (3-D) representation of objects or scenes at the expense of high data volume. To compactly represent such data in real-world applications, Video-based Point Cloud Compression (V-PCC) converts them into two-dimensional (2-D) attribute maps before lossy compression. However, the coding artifacts introduced in the decoded attribute maps eventually bring texture degradation in the reconstructed point cloud. In this paper, we propose a deep-learning based attribute map enhancement method by fully leveraging the guidance of the occupancy map in local feature modification and non-local attention for capturing long-range spatial correlations.
AB - Point clouds offer the realistic three-dimensional (3-D) representation of objects or scenes at the expense of high data volume. To compactly represent such data in real-world applications, Video-based Point Cloud Compression (V-PCC) converts them into two-dimensional (2-D) attribute maps before lossy compression. However, the coding artifacts introduced in the decoded attribute maps eventually bring texture degradation in the reconstructed point cloud. In this paper, we propose a deep-learning based attribute map enhancement method by fully leveraging the guidance of the occupancy map in local feature modification and non-local attention for capturing long-range spatial correlations.
UR - https://www.scopus.com/pages/publications/85160774903
U2 - 10.1109/DCC55655.2023.00074
DO - 10.1109/DCC55655.2023.00074
M3 - 会议稿件
AN - SCOPUS:85160774903
T3 - Data Compression Conference Proceedings
SP - 332
BT - Proceedings - DCC 2023
A2 - Bilgin, Ali
A2 - Marcellin, Michael W.
A2 - Serra-Sagrista, Joan
A2 - Storer, James A.
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 Data Compression Conference, DCC 2023
Y2 - 21 March 2023 through 24 March 2023
ER -