Pose2UV: Single-Shot Multiperson Mesh Recovery With Deep UV Prior

Author:

Huang Buzhen1ORCID,Zhang Tianshu1ORCID,Wang Yangang1ORCID

Affiliation:

1. School of Automation and the Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Southeast University, Nanjing, China

Funder

National Natural Science Foundation of China

“Young Elite Scientists Sponsorship Program by the China Association for Science and Technology (CAST)”

“Zhishan Young Scholar” Program of Southeast University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Cited by 9 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. Deep learning for 3D human pose estimation and mesh recovery: A survey;Neurocomputing;2024-09

2. Updating Depth-aware Feature in the Feedback Loop for Human Mesh Recovery;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

3. Real-Time Multi-View Human Pose Estimation System;2024 39th Youth Academic Annual Conference of Chinese Association of Automation (YAC);2024-06-07

4. LEAPSE: Learning Environment Affordances for 3D Human Pose and Shape Estimation;IEEE Transactions on Image Processing;2024

5. Learning Dense UV Completion for 3D Human Mesh Recovery;Communications in Computer and Information Science;2023-11-26

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