Learning to Restore Compressed Point Cloud Attribute : A Fully Data-Driven Approach and A Rules-Unrolling-Based Optimization

The emergence of holographic media drives the standardization of Geometry-based Point Cloud Compression (G-PCC) to sustain networked service provisioning. However, G-PCC inevitably introduces visually annoying artifacts, degrading the quality of experience (QoE). This work focuses on restoring G-PCC...

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Veröffentlicht in:	IEEE transactions on visualization and computer graphics. - 1996. - PP(2024) vom: 12. März
1. Verfasser:	Zhang, Junteng (VerfasserIn)
Weitere Verfasser:	Zhang, Junzhe, Ding, Dandan, Ma, Zhan
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2024
Zugriff auf das übergeordnete Werk:	IEEE transactions on visualization and computer graphics
Schlagworte:	Journal Article