PDE-based Progressive Prediction Framework for Attribute Compression of 3D Point Clouds-Reference-Cited by-同舟云学术

PDE-based Progressive Prediction Framework for Attribute Compression of 3D Point Clouds

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Multimedia
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Author:

Yang Xiaodong¹^ORCID,Shao Yiting²^ORCID,Liu Shan³^ORCID,Li Thomas H.¹^ORCID,Li Ge¹^ORCID

Affiliation:

1. School of Electronic and Computer Engineering, Peking University, Shenzhen, China

2. School of Electronic and Computer Engineering, Peking University & Artificial Intelligence Research Center, Peng Cheng Laboratory, Shenzhen, China

3. Tencent Media Lab, Palo Alto, CA, USA

Funder

National Natural Science Foundation of China

Shenzhen Fundamental Research Program

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3612422

Reference35 articles.

1. Deterministic edge-preserving regularization in computed imaging

2. Hilbert Space Filling Curve Based Scan-Order for Point Cloud Attribute Compression

3. WG 07 MPEG 3D Graphics Coding and Haptics Coding. 2023. Common test conditions for G-PCC. document ISO/IEC JTC1/SC29/WG11 w22425. WG 07 MPEG 3D Graphics Coding and Haptics Coding. 2023. Common test conditions for G-PCC. document ISO/IEC JTC1/SC29/WG11 w22425.

4. Attribute compression for sparse point clouds using graph transforms

5. Compression of 3D Point Clouds Using a Region-Adaptive Hierarchical Transform

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