A Lightweight Grouped Low-rank Tensor Approximation Network for 3D Mesh Reconstruction From Videos-Reference-Cited by-同舟云学术

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A Lightweight Grouped Low-rank Tensor Approximation Network for 3D Mesh Reconstruction From Videos

Published:2023-07 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Multimedia and Expo (ICME)
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Author:

Zhang Boyang¹,Wu Suping¹,Yang Leyang¹,Wang Bin¹,Lu Wenlong¹

Affiliation:

1. Ningxia University,School of Information Engineering,YinChuan,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10219544/10219545/10219828.pdf?arnumber=10219828

Reference27 articles.

1. Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments

2. Recovering Accurate 3D Human Pose in the Wild Using IMUs and a Moving Camera

3. From Actemes to Action: A Strongly-Supervised Representation for Detailed Action Understanding

4. Monocular 3D Human Pose Estimation in the Wild Using Improved CNN Supervision

5. Learning to Reconstruct 3D Human Pose and Shape via Model-Fitting in the Loop

Cited by 1 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. Model-Guided Self-Supervised 3D Mesh Reconstruction from Single Image;Proceedings of the 2024 10th International Conference on Computing and Artificial Intelligence;2024-04-26

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