Progressive Seed Generation Auto-encoder for Unsupervised Point Cloud Learning-Reference-Cited by-同舟云学术

Progressive Seed Generation Auto-encoder for Unsupervised Point Cloud Learning

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE/CVF International Conference on Computer Vision (ICCV)
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Author:

Yang Juyoung¹,Ahn Pyunghwan¹,Kim Doyeon¹,Lee Haeil¹,Kim Junmo¹

Affiliation:

1. KAIST,School of Electrical Engineering,South Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9709627/9709628/09710568.pdf?arnumber=9710568

Reference34 articles.

1. Detail Preserved Point Cloud Completion via Separated Feature Aggregation

2. Point set voting for partial point cloud analysis;zhang,2020

3. PCN: Point Completion Network

4. Foldingnet: Point cloud auto-encoder via deep grid deformation;yang;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2018

5. 3d point capsule networks;zhao;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2019

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