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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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 10 vom: 01. Okt., Seite 12394-12407
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| Auteur principal: |
Zhao, Wenbo
(Auteur) |
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| Autres auteurs: |
Liu, Xianming,
Zhai, Deming,
Jiang, Junjun,
Ji, Xiangyang |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2023
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article |
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