C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion-Reference-Cited by-同舟云学术

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C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion

Published:2019-10 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE/CVF International Conference on Computer Vision (ICCV)
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Author:

Novotny David,Ravi Nikhila,Graham Ben,Neverova Natalia,Vedaldi Andrea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8972782/9008105/09009035.pdf?arnumber=9009035

Cited by 61 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Rotation invariance and equivariance in 3D deep learning: a survey;Artificial Intelligence Review;2024-06-07

2. Using Specularities to Boost Non-Rigid Structure-from-Motion;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. ToTem NRSfM: Object-Wise Non-rigid Structure-from-Motion with a Topological Template;International Journal of Computer Vision;2024-01-12

4. Unsupervised 3D Pose Estimation with Non-Rigid Structure-from-Motion Modeling;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

5. Learning Point Cloud Completion without Complete Point Clouds: A Pose-Aware Approach;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

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