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Structured Prediction of 3D Human Pose with Deep Neural Networks

arXiv 1605.05180 ↗First posted 17 May 2016cs.CVcited by 43

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Abstract (arXiv)

Most recent approaches to monocular 3D pose estimation rely on Deep Learning. They either train a Convolutional Neural Network to directly regress from image to 3D pose, which ignores the dependencies between human joints, or model these dependencies via a max-margin structured learning framework, which involves a high computational cost at inference time. In this paper, we introduce a Deep Learning regression architecture for structured prediction of 3D human pose from monocular images that relies on an overcomplete auto-encoder to learn a high-dimensional latent pose representation and account for joint dependencies. We demonstrate that our approach outperforms state-of-the-art ones both in terms of structure preservation and prediction accuracy.

Key facts. Cited by 43 papers in the map (data through 14 Oct 2026). First posted on arXiv 17 May 2016.

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Citing papers per year: 2021: 17; 2022: 9; 2023: 9; 2024: 7; 2025: 1.

43 papers.

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  1. 2021Collaborative Regression of Expressive Bodies using Moderationcited by 137
  2. 2021Dynamics-Regulated Kinematic Policy for Egocentric Pose Estimationcited by 101
  3. 2021Graph Stacked Hourglass Networks for 3D Human Pose Estimationcited by 95
  4. 2021Neural Monocular 3D Human Motion Capture with Physical Awarenesscited by 71
  5. 2021Estimating Egocentric 3D Human Pose in Global Spacecited by 56
  6. 2022Human-Aware Object Placement for Visual Environment Reconstructioncited by 56
  7. 2021Conditional Directed Graph Convolution for 3D Human Pose Estimationcited by 52
  8. 2021ElePose: Unsupervised 3D Human Pose Estimation by Predicting Camera Elevation and Learning Normalizing Flows on 2D Posescited by 35
  9. 2021Task-Generic Hierarchical Human Motion Prior using VAEscited by 33
  10. 2021Gravity-Aware Monocular 3D Human-Object Reconstructioncited by 30
  11. 2022HULC: 3D Human Motion Capture with Pose Manifold Sampling and Dense Contact Guidancecited by 29
  12. 2021Egocentric Pose Estimation from Human Vision Spancited by 27
31 more
  1. 2021KAMA: 3D Keypoint Aware Body Mesh Articulationcited by 27
  2. 2021PandaNet : Anchor-Based Single-Shot Multi-Person 3D Pose Estimationcited by 22
  3. 2023Ego3DPose: Capturing 3D Cues from Binocular Egocentric Viewscited by 22
  4. 2023Scene-Aware 3D Multi-Human Motion Capture from a Single Cameracited by 19
  5. 2021Improving Robustness and Accuracy via Relative Information Encoding in 3D Human Pose Estimationcited by 18
  6. 2022MoCapDeform: Monocular 3D Human Motion Capture in Deformable Scenescited by 18
  7. 2024SimpleEgo: Predicting Probabilistic Body Pose from Egocentric Camerascited by 12
  8. 2021FLEX: Extrinsic Parameters-free Multi-view 3D Human Motion Reconstructioncited by 11
  9. 2021Body Size and Depth Disambiguation in Multi-Person Reconstruction from Single Imagescited by 11
  10. 2023A Single 2D Pose with Context is Worth Hundreds for 3D Human Pose Estimationcited by 11
  11. 2022On Triangulation as a Form of Self-Supervision for 3D Human Pose Estimationcited by 10
  12. 2022DH-AUG: DH Forward Kinematics Model Driven Augmentation for 3D Human Pose Estimationcited by 8
  13. 2024A Survey on 3D Egocentric Human Pose Estimationcited by 8
  14. 2023CameraPose: Weakly-Supervised Monocular 3D Human Pose Estimation by Leveraging In-the-wild 2D Annotationscited by 6
  15. 2023Human Pose-based Estimation, Tracking and Action Recognition with Deep Learning: A Surveycited by 6
  16. 2024DAVINCI: A Single-Stage Architecture for Constrained CAD Sketch Inferencecited by 6
  17. 2022Enhancing Egocentric 3D Pose Estimation with Third Person Viewscited by 5
  18. 2021Lifting 2D Human Pose to 3D with Domain Adapted 3D Body Conceptcited by 4
  19. 2023CNN-Based Action Recognition and Pose Estimation for Classifying Animal Behavior from Videos: A Surveycited by 4
  20. 2024Human Modelling and Pose Estimation Overviewcited by 4
  21. 2022Permutation-Invariant Relational Network for Multi-person 3D Pose Estimationcited by 3
  22. 20243D Point Cloud Network Pruning: When Some Weights Do not Mattercited by 3
  23. 2022Building Spatio-temporal Transformers for Egocentric 3D Pose Estimationcited by 2
  24. 2021On the role of depth predictions for 3D human pose estimationcited by 1
  25. 2022"Teaching Independent Parts Separately" (TIPSy-GAN) : Improving Accuracy and Stability in Unsupervised Adversarial 2D to 3D Pose Estimationcited by 0
  26. 2023Learning from Abstract Images: on the Importance of Occlusion in a Minimalist Encoding of Human Posescited by 0
  27. 2023PoseGraphNet++: Enriching 3D Human Pose with Orientation Estimationcited by 0
  28. 2023RSB-Pose: Robust Short-Baseline Binocular 3D Human Pose Estimation with Occlusion Handlingcited by 0
  29. 2024Occlusion Resilient 3D Human Pose Estimationcited by 0
  30. 2024Self-learning Canonical Space for Multi-view 3D Human Pose Estimationcited by 0
  31. 2025Toward Efficient Generalization in 3D Human Pose Estimation via a Canonical Domain Approachcited by 0