2022 25th International Symposium on Wireless Personal Multimedia Communications (WPMC) 2022
DOI: 10.1109/wpmc55625.2022.10014791
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3D Human Body Models Compression and Decompression Algorithm Based on Graph Convolutional Networks for Holographic communication

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Cited by 5 publications
(2 citation statements)
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“…However, avail-able 3D content compression software such as Point Cloud Library (PCL), Google Draco, MPEG-TMC2, and MPEG-TMC13 [101]- [104] can achieve a very high compression ratio, but at the cost of an inadmissible processing delay of a couple or even tens of seconds. Some ML methods also gain popularity in developing innovative compression techniques [105]- [108]. These approaches primarily use DLbased autoencoders trained preliminarily with 3D data.…”
Section: B User-site Optimizationsmentioning
confidence: 99%
“…However, avail-able 3D content compression software such as Point Cloud Library (PCL), Google Draco, MPEG-TMC2, and MPEG-TMC13 [101]- [104] can achieve a very high compression ratio, but at the cost of an inadmissible processing delay of a couple or even tens of seconds. Some ML methods also gain popularity in developing innovative compression techniques [105]- [108]. These approaches primarily use DLbased autoencoders trained preliminarily with 3D data.…”
Section: B User-site Optimizationsmentioning
confidence: 99%
“…The 3D Human Body Model dataset established by the authors of [45] is a synthetic dataset that consists of 20,000 three-dimensional models of human bodies in static poses and an equal gender distribution. It is generated with the STAR parametric model [33].…”
Section: Human Body Datasetsmentioning
confidence: 99%