mlsanityData to 7 Oct 2026

DH-AUG: DH Forward Kinematics Model Driven Augmentation for 3D Human Pose Estimation

arXiv 2207.09303 ↗First posted 19 Jul 2022cs.CVcited by 8

Not on the map. Why?

Abstract (arXiv)

Due to the lack of diversity of datasets, the generalization ability of the pose estimator is poor. To solve this problem, we propose a pose augmentation solution via DH forward kinematics model, which we call DH-AUG. We observe that the previous work is all based on single-frame pose augmentation, if it is directly applied to video pose estimator, there will be several previously ignored problems: (i) angle ambiguity in bone rotation (multiple solutions); (ii) the generated skeleton video lacks movement continuity. To solve these problems, we propose a special generator based on DH forward kinematics model, which is called DH-generator. Extensive experiments demonstrate that DH-AUG can greatly increase the generalization ability of the video pose estimator. In addition, when applied to a single-frame 3D pose estimator, our method outperforms the previous best pose augmentation method. The source code has been released at https://github.com/hlz0606/DH-AUG-DH-Forward-Kinematics-Model-Driven-Augmentation-for-3D-Human-Pose-Estimation.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 44 of its 67 references that are in the map. First posted on arXiv 19 Jul 2022.

Builds on

44 of 67 references.

References · 44

  1. 2014Microsoft COCO: Common Objects in Contextcited by 17,498
  2. 2022Generative Adversarial Networkscited by 5,603
  3. 2017Improved Training of Wasserstein GANscited by 2,223
  4. 2019Deep High-Resolution Representation Learning for Human Pose Estimationcited by 1,339
  5. 2016Realtime Multi-Person 2D Pose Estimation using Part Affinity Fieldscited by 1,061
  6. 2017End-to-end Recovery of Human Shape and Posecited by 883
  7. 2019Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loopcited by 625
  8. 2019VIBE: Video Inference for Human Body Pose and Shape Estimationcited by 615
  9. 2016Monocular 3D Human Pose Estimation In The Wild Using Improved CNN Supervisioncited by 493
  10. 2017A simple yet effective baseline for 3d human pose estimationcited by 401
  11. 20183D human pose estimation in video with temporal convolutions and semi-supervised trainingcited by 401
  12. 2017Learning from Synthetic Humanscited by 358
32 more
  1. 2017Cascaded Pyramid Network for Multi-Person Pose Estimationcited by 341
  2. 2016Convolutional Pose Machinescited by 325
  3. 2020HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimationcited by 304
  4. 20213D Human Pose Estimation with Spatial and Temporal Transformerscited by 271
  5. 2019Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognitioncited by 228
  6. 2016Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Posecited by 220
  7. 2019Semantic Graph Convolutional Networks for 3D Human Pose Regressioncited by 204
  8. 2017Single-Shot Multi-Person 3D Pose Estimation From Monocular RGBcited by 195
  9. 2019Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Imagecited by 131
  10. 2017VNect: Real-time 3D Human Pose Estimation with a Single RGB Cameracited by 129
  11. 2020SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approachcited by 94
  12. 2019Generating Multiple Hypotheses for 3D Human Pose Estimation with Mixture Density Networkcited by 92
  13. 2021PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimationcited by 88
  14. 2019RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimationcited by 85
  15. 2017Real-time Hand Tracking under Occlusion from an Egocentric RGB-D Sensorcited by 84
  16. 2020Cascaded deep monocular 3D human pose estimation with evolutionary training datacited by 80
  17. 2019Monocular 3D Human Pose Estimation by Generation and Ordinal Rankingcited by 76
  18. 2017Multi-Context Attention for Human Pose Estimationcited by 66
  19. 20203D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion Trainingcited by 54
  20. 2021Reconstructing 3D Human Pose by Watching Humans in the Mirrorcited by 47
  21. 2018Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimationcited by 44
  22. 2016Structured Prediction of 3D Human Pose with Deep Neural Networkscited by 43
  23. 2015Maximum-Margin Structured Learning with Deep Networks for 3D Human Pose Estimationcited by 37
  24. 2016MoCap-guided Data Augmentation for 3D Pose Estimation in the Wildcited by 37
  25. 2020MotioNet: 3D Human Motion Reconstruction from Monocular Video with Skeleton Consistencycited by 31
  26. 2019Trajectory Space Factorization for Deep Video-Based 3D Human Pose Estimationcited by 30
  27. 2018OriNet: A Fully Convolutional Network for 3D Human Pose Estimationcited by 28
  28. 2015Direct Prediction of 3D Body Poses from Motion Compensated Sequencescited by 26
  29. 2020Self-Supervised Human Depth Estimation from Monocular Videoscited by 17
  30. 2019Learning to Estimate Pose and Shape of Hand-Held Objects from RGB Imagescited by 10
  31. 2019Cascade Feature Aggregation for Human Pose Estimationcited by 8
  32. 2016Learning camera viewpoint using CNN to improve 3D body pose estimationcited by 6

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 2; 2024: 3; 2025: 2; 2026: 1.

8 papers.

  1. 2024A Dual-Augmentor Framework for Domain Generalization in 3D Human Pose Estimationcited by 15
  2. 2023Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Modulecited by 10
  3. 2024Data Augmentation in Human-Centric Visioncited by 2
  4. 2024Recovering Complete Actions for Cross-dataset Skeleton Action Recognitioncited by 2
  5. 2023Refined Temporal Pyramidal Compression-and-Amplification Transformer for 3D Human Pose Estimationcited by 0
  6. 2025Toward Efficient Generalization in 3D Human Pose Estimation via a Canonical Domain Approachcited by 0
  7. 2025AugLift: Depth-Aware Input Reparameterization Improves Domain Generalization in 2D-to-3D Pose Liftingcited by 0
  8. 2026Enhancing Domain Generalization in 3D Human Pose Estimation through Controllable Generative Augmentationcited by 0