A Progressive Quadric Graph Convolutional Network for 3D Human Mesh Recovery-Reference-Cited by-同舟云学术

A Progressive Quadric Graph Convolutional Network for 3D Human Mesh Recovery

Published:2023-01 Issue:1 Volume:33 Page:104-117
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Wang Lei¹^ORCID,Liu Xunyu²,Ma Xiaoliang²^ORCID,Wu Jiaji³^ORCID,Cheng Jun¹^ORCID,Zhou Mengchu⁴^ORCID

Affiliation:

1. CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

2. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China

3. School of Electronic Engineering, Xidian University, Xi’an, China

4. Helen and John C. Hartmann Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA

Funder

Basic and Applied Basic Research Foundation of Guangdong Province

National Natural Science Foundation of China

Chinese Academy of Sciences (CAS) Key Technology Talent Program, Colleges and Universities Key Laboratory of Intelligent Integrated Automation

CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, CAS

Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems

3D Digital Media Technology Engineering Laboratory

Shenzhen Technology Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/10007626/09858169.pdf?arnumber=9858169

Reference73 articles.

1. Variational Gridded Graph Convolution Network for Node Classification

2. ARCH: Animatable Reconstruction of Clothed Humans

3. End-to-End Human Pose and Mesh Reconstruction with Transformers

4. SMPLicit: Topology-aware Generative Model for Clothed People

5. An Auxiliary Learning Task-Enhanced Graph Convolutional Network Model for Highly-accurate Node Classification on Weakly Supervised Graphs

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