Deep NRSfM++: Towards Unsupervised 2D-3D Lifting in the Wild-Reference-Cited by-同舟云学术

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Deep NRSfM++: Towards Unsupervised 2D-3D Lifting in the Wild

Published:2020-11 Issue: Volume: Page:
ISSN:
Container-title:2020 International Conference on 3D Vision (3DV)
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Author:

Wang Chaoyang,Lin Chen-Hsuan,Lucey Simon

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9320095/9320098/09320315.pdf?arnumber=9320315

Cited by 11 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. 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

2. Low-Light Phase Retrieval With Implicit Generative Priors;IEEE Transactions on Image Processing;2024

3. Temporal-Aware Neural Network for Dense Non-Rigid Structure from Motion;Electronics;2023-09-19

4. Self‐supervised non‐rigid structure from motion with improved training of Wasserstein GANs;IET Computer Vision;2023-02-06

5. Deep Spatial-Temporal Neural Network for Dense Non-Rigid Structure from Motion;Mathematics;2022-10-14

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