SSL-Net: Point-Cloud Generation Network With Self-Supervised Learning
Inferring the three-dimensional structure of objects from monocular images has far-reaching applications in the field of 3D perception. In this paper, we propose a self-supervised network (SSL-Net) to generate 3D point clouds from a single RGB image, unlike the existing work which requires multiple...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8740985/ |