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Semantic Graph Convolutional Networks for 3D Human Pose Regression

arXiv 1904.03345 ↗First posted 6 Apr 2019cs.CVcited by 204

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Abstract (arXiv)

In this paper, we study the problem of learning Graph Convolutional Networks (GCNs) for regression. Current architectures of GCNs are limited to the small receptive field of convolution filters and shared transformation matrix for each node. To address these limitations, we propose Semantic Graph Convolutional Networks (SemGCN), a novel neural network architecture that operates on regression tasks with graph-structured data. SemGCN learns to capture semantic information such as local and global node relationships, which is not explicitly represented in the graph. These semantic relationships can be learned through end-to-end training from the ground truth without additional supervision or hand-crafted rules. We further investigate applying SemGCN to 3D human pose regression. Our formulation is intuitive and sufficient since both 2D and 3D human poses can be represented as a structured graph encoding the relationships between joints in the skeleton of a human body. We carry out comprehensive studies to validate our method. The results prove that SemGCN outperforms state of the art while using 90% fewer parameters.

Key facts. Cited by 204 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Apr 2019.

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Citing papers per year: 2021: 53; 2022: 43; 2023: 40; 2024: 33; 2025: 24; 2026: 11.

204 papers.

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  1. 20213D Human Pose Estimation with Spatial and Temporal Transformerscited by 271
  2. 2021BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximationcited by 195
  3. 2022MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Videocited by 158
  4. 2021Collaborative Regression of Expressive Bodies using Moderationcited by 137
  5. 2021Human Pose Regression with Residual Log-likelihood Estimationcited by 131
  6. 2022HuMMan: Multi-Modal 4D Human Dataset for Versatile Sensing and Modelingcited by 115
  7. 2022DiffPose: Toward More Reliable 3D Pose Estimationcited by 99
  8. 2021Exploiting Temporal Contexts with Strided Transformer for 3D Human Pose Estimationcited by 94
  9. 2021Graph Stacked Hourglass Networks for 3D Human Pose Estimationcited by 94
  10. 2021PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimationcited by 88
  11. 2022Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisitedcited by 87
  12. 2021Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flowscited by 84
38 more
  1. 2022P-STMO: Pre-Trained Spatial Temporal Many-to-One Model for 3D Human Pose Estimationcited by 80
  2. 2021Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Futurecited by 67
  3. 2022DiffPose: Multi-hypothesis Human Pose Estimation using Diffusion modelscited by 65
  4. 2021SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videoscited by 64
  5. 2021Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimationcited by 62
  6. 2023MotionAGFormer: Enhancing 3D Human Pose Estimation with a Transformer-GCNFormer Networkcited by 62
  7. 2022GFPose: Learning 3D Human Pose Prior with Gradient Fieldscited by 57
  8. 2021TRiPOD: Human Trajectory and Pose Dynamics Forecasting in the Wildcited by 52
  9. 2021Conditional Directed Graph Convolution for 3D Human Pose Estimationcited by 52
  10. 2021Recent Advances in Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspectivecited by 49
  11. 2023GLA-GCN: Global-local Adaptive Graph Convolutional Network for 3D Human Pose Estimation from Monocular Videocited by 46
  12. 2023Human Pose as Compositional Tokenscited by 45
  13. 2024Hamba: Single-view 3D Hand Reconstruction with Graph-guided Bi-Scanning Mambacited by 45
  14. 2021Graph-Based 3D Multi-Person Pose Estimation Using Multi-View Imagescited by 38
  15. 2021Context Modeling in 3D Human Pose Estimation: A Unified Perspectivecited by 37
  16. 2022Graph-based Spatial Transformer with Memory Replay for Multi-future Pedestrian Trajectory Predictioncited by 36
  17. 2024KTPFormer: Kinematics and Trajectory Prior Knowledge-Enhanced Transformer for 3D Human Pose Estimationcited by 33
  18. 2022HuPR: A Benchmark for Human Pose Estimation Using Millimeter Wave Radarcited by 31
  19. 2022Hierarchically Self-Supervised Transformer for Human Skeleton Representation Learningcited by 30
  20. 2022DiffuPose: Monocular 3D Human Pose Estimation via Denoising Diffusion Probabilistic Modelcited by 29
  21. 2021SPAGAN: Shortest Path Graph Attention Networkcited by 28
  22. 2022Versatile Multi-Modal Pre-Training for Human-Centric Perceptioncited by 26
  23. 2022MAgNET: A Graph U-Net Architecture for Mesh-Based Simulationscited by 26
  24. 2021PC-HMR: Pose Calibration for 3D Human Mesh Recovery from 2D Images/Videoscited by 25
  25. 2022Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimationcited by 25
  26. 2023Back to Optimization: Diffusion-based Zero-Shot 3D Human Pose Estimationcited by 24
  27. 2023HDFormer: High-order Directed Transformer for 3D Human Pose Estimationcited by 23
  28. 2021A Lightweight Graph Transformer Network for Human Mesh Reconstruction from 2D Human Posecited by 21
  29. 2022GraphMLP: A Graph MLP-Like Architecture for 3D Human Pose Estimationcited by 21
  30. 2023Vision-Based Human Pose Estimation via Deep Learning: A Surveycited by 20
  31. 2021Adaptive Multi-view and Temporal Fusing Transformer for 3D Human Pose Estimationcited by 19
  32. 2023Pose-Oriented Transformer with Uncertainty-Guided Refinement for 2D-to-3D Human Pose Estimationcited by 19
  33. 2023Global Adaptation meets Local Generalization: Unsupervised Domain Adaptation for 3D Human Pose Estimationcited by 19
  34. 2021Improving Robustness and Accuracy via Relative Information Encoding in 3D Human Pose Estimationcited by 18
  35. 2021Out-of-Domain Generalization from a Single Source: An Uncertainty Quantification Approachcited by 18
  36. 2024Ultra Inertial Poser: Scalable Motion Capture and Tracking from Sparse Inertial Sensors and Ultra-Wideband Rangingcited by 18
  37. 2021Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-Learningcited by 17
  38. 2023Improving 3D Pose Estimation for Sign Languagecited by 16

50 most cited of 204 All 204 (JSON)