P2C: Self-Supervised Point Cloud Completion from Single Partial Clouds
Author:
Affiliation:
1. Australian National University
2. King Fahd University of Petroleum and Minerals
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10376473/10376477/10376600.pdf?arnumber=10376600
Reference43 articles.
1. Adaptive control. courier corporation;Astrom;Courier Corporation,2013
2. Computation of surface geometry and segmentation using covariance techniques
3. Learning a Structured Latent Space for Unsupervised Point Cloud Completion
4. Emerging Properties in Self-Supervised Vision Transformers
5. Shapenet: An information-rich 3d model repository;Chang;CoRR,2015
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1. CompleteDT: Point cloud completion with information-perception transformers;Neurocomputing;2024-08
2. 3DCSCN: 3D Cascade Shape Completion Network Based On Single Depth View;2023 3rd International Conference on Electronic Information Engineering and Computer Communication (EIECC);2023-12-22
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