FoldingNet: Point Cloud Auto-Encoder via Deep Grid Deformation
Recent deep networks that directly handle points in a point set, e.g., PointNet, have been state-of-the-art for supervised learning tasks on point clouds such as classification and segmentation. In this work, a novel end-to-end deep auto-encoder is proposed to address unsupervised learning challenge...
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Published in | 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition pp. 206 - 215 |
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Main Authors | , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.06.2018
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Subjects | |
Online Access | Get full text |
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