Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning
We show that denoising of 3D point clouds can be learned unsupervised, directly from noisy 3D point cloud data only. This is achieved by extending recent ideas from learning of unsupervised image denoisers to unstructured 3D point clouds. Unsupervised image denoisers operate under the assumption tha...
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Published in | Proceedings / IEEE International Conference on Computer Vision pp. 52 - 60 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.10.2019
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Subjects | |
Online Access | Get full text |
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