GRNet:Geometry Restoration for G-PCC Compressed Point Clouds Using Auxiliary Density Signaling
The lossy Geometry-based Point Cloud Compression (G-PCC) inevitably impairs the geometry information of point clouds, which deteriorates the quality of experience (QoE) in reconstruction and/or misleads decisions in tasks such as classification. To tackle it, this work proposes GRNet for the geometr...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - 30(2024), 10 vom: 01. Sept., Seite 6740-6753
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| 1. Verfasser: |
Liu, Gexin
(VerfasserIn) |
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| Weitere Verfasser: |
Xue, Ruixiang,
Li, Jiaxin,
Ding, Dandan,
Ma, Zhan |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics
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| Schlagworte: | Journal Article |
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