Regular Splitting Graph Network for 3D Human Pose Estimation
Author:
Affiliation:
1. Concordia Institute for Information Systems Engineering, Concordia University, Montreal, Canada
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Graphics and Computer-Aided Design,Software
Link
http://xplorestaging.ieee.org/ielx7/83/9991910/10179252.pdf?arnumber=10179252
Reference63 articles.
1. Semantic Graph Convolutional Networks for 3D Human Pose Regression
2. Generating Multiple Hypotheses for 3D Human Pose Estimation With Mixture Density Network
3. Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking
4. In the Wild Human Pose Estimation Using Explicit 2D Features and Intermediate 3D Representations
5. Higher-order implicit fairing networks for 3D human pose estimation;quan;Proc Brit Mach Vis Conf,2021
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