Recovering 3D Human Mesh From Monocular Images: A Survey
Author:
Affiliation:
1. State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China
2. Department of Automation, Tsinghua University, Beijing, China
Funder
National Key R&D Program of China
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Collaborative Innovation Center of Novel Software Technology and Industrialization
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software
Link
http://xplorestaging.ieee.org/ielx7/34/10308548/10195242.pdf?arnumber=10195242
Reference302 articles.
1. Stochastic Tracking of 3D Human Figures Using 2D Image Motion
2. Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild
3. Tracking Persons in Monocular Image Sequences
4. HandOccNet: Occlusion-Robust 3D Hand Mesh Estimation Network
5. Monocular Human Pose and Shape Reconstruction using Part Differentiable Rendering
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