Self-Supervised Arbitrary-Scale Implicit Point Clouds Upsampling
Point clouds upsampling (PCU), which aims to generate dense and uniform point clouds from the captured sparse input of 3D sensor such as LiDAR, is a practical yet challenging task. It has potential applications in many real-world scenarios, such as autonomous driving, robotics, AR/VR, etc. Deep neur...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 10 vom: 01. Okt., Seite 12394-12407
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| 1. Verfasser: |
Zhao, Wenbo
(VerfasserIn) |
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| Weitere Verfasser: |
Liu, Xianming,
Zhai, Deming,
Jiang, Junjun,
Ji, Xiangyang |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2023
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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