mlsanityData to 7 Oct 2026

Motion Guided 3D Pose Estimation from Videos

arXiv 2004.13985 ↗First posted 29 Apr 2020cs.CVcited by 85

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Abstract (arXiv)

We propose a new loss function, called motion loss, for the problem of monocular 3D Human pose estimation from 2D pose. In computing motion loss, a simple yet effective representation for keypoint motion, called pairwise motion encoding, is introduced. We design a new graph convolutional network architecture, U-shaped GCN (UGCN). It captures both short-term and long-term motion information to fully leverage the additional supervision from the motion loss. We experiment training UGCN with the motion loss on two large scale benchmarks: Human3.6M and MPI-INF-3DHP. Our model surpasses other state-of-the-art models by a large margin. It also demonstrates strong capacity in producing smooth 3D sequences and recovering keypoint motion.

Key facts. Cited by 85 papers in the map (data through 7 Oct 2026). First posted on arXiv 29 Apr 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 18; 2022: 18; 2023: 17; 2024: 16; 2025: 13; 2026: 3.

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  1. 20213D Human Pose Estimation with Spatial and Temporal Transformerscited by 271
  2. 2022MotionBERT: A Unified Perspective on Learning Human Motion Representationscited by 188
  3. 2021FrankMocap: A Monocular 3D Whole-Body Pose Estimation System via Regression and Integrationcited by 168
  4. 2022MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Videocited by 158
  5. 2021MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimationcited by 151
  6. 2022DiffPose: Toward More Reliable 3D Pose Estimationcited by 99
  7. 2021Learning Motion Priors for 4D Human Body Capture in 3D Scenescited by 98
  8. 2021Exploiting Temporal Contexts with Strided Transformer for 3D Human Pose Estimationcited by 94
  9. 2023PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimationcited by 91
  10. 2023Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregationcited by 81
  11. 2022P-STMO: Pre-Trained Spatial Temporal Many-to-One Model for 3D Human Pose Estimationcited by 80
  12. 2021Scene-aware Generative Network for Human Motion Synthesiscited by 70
38 more
  1. 2021SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videoscited by 64
  2. 2023MotionAGFormer: Enhancing 3D Human Pose Estimation with a Transformer-GCNFormer Networkcited by 62
  3. 2021Estimating Egocentric 3D Human Pose in Global Spacecited by 56
  4. 2021Conditional Directed Graph Convolution for 3D Human Pose Estimationcited by 52
  5. 2023GLA-GCN: Global-local Adaptive Graph Convolutional Network for 3D Human Pose Estimation from Monocular Videocited by 46
  6. 2022Uplift and Upsample: Efficient 3D Human Pose Estimation with Uplifting Transformerscited by 33
  7. 2024KTPFormer: Kinematics and Trajectory Prior Knowledge-Enhanced Transformer for 3D Human Pose Estimationcited by 33
  8. 2021AdaptPose: Cross-Dataset Adaptation for 3D Human Pose Estimation by Learnable Motion Generationcited by 32
  9. 2022DiffuPose: Monocular 3D Human Pose Estimation via Denoising Diffusion Probabilistic Modelcited by 29
  10. 2024PhysPT: Physics-aware Pretrained Transformer for Estimating Human Dynamics from Monocular Videoscited by 27
  11. 2022Ray3D: ray-based 3D human pose estimation for monocular absolute 3D localizationcited by 25
  12. 2022H3WB: Human3.6M 3D WholeBody Dataset and Benchmarkcited by 23
  13. 2023HDFormer: High-order Directed Transformer for 3D Human Pose Estimationcited by 23
  14. 2022GraphMLP: A Graph MLP-Like Architecture for 3D Human Pose Estimationcited by 21
  15. 20223D Vision with Transformers: A Surveycited by 21
  16. 2021Adaptive Multi-view and Temporal Fusing Transformer for 3D Human Pose Estimationcited by 19
  17. 2021Improving Robustness and Accuracy via Relative Information Encoding in 3D Human Pose Estimationcited by 18
  18. 2021VoteHMR: Occlusion-Aware Voting Network for Robust 3D Human Mesh Recovery from Partial Point Cloudscited by 18
  19. 2022Light-weight spatio-temporal graphs for segmentation and ejection fraction prediction in cardiac ultrasoundcited by 15
  20. 2022Occluded Human Body Capture with Self-Supervised Spatial-Temporal Motion Priorcited by 15
  21. 2023Hourglass Tokenizer for Efficient Transformer-Based 3D Human Pose Estimationcited by 15
  22. 2024AutoSoccerPose: Automated 3D posture Analysis of Soccer Shot Movementscited by 15
  23. 2025AthletePose3D: A Benchmark Dataset for 3D Human Pose Estimation and Kinematic Validation in Athletic Movementscited by 14
  24. 2021Weakly-supervised 3D Human Pose Estimation with Cross-view U-shaped Graph Convolutional Networkcited by 13
  25. 2021Learning Dynamical Human-Joint Affinity for 3D Pose Estimation in Videoscited by 13
  26. 2023PoSynDA: Multi-Hypothesis Pose Synthesis Domain Adaptation for Robust 3D Human Pose Estimationcited by 12
  27. 2021FLEX: Extrinsic Parameters-free Multi-view 3D Human Motion Reconstructioncited by 11
  28. 2022CrossFormer: Cross Spatio-Temporal Transformer for 3D Human Pose Estimationcited by 11
  29. 2023A Single 2D Pose with Context is Worth Hundreds for 3D Human Pose Estimationcited by 11
  30. 2024Deep learning for 3D human pose estimation and mesh recovery: A surveycited by 11
  31. 2024Lifting Motion to the 3D World via 2D Diffusioncited by 11
  32. 2023HSTFormer: Hierarchical Spatial-Temporal Transformers for 3D Human Pose Estimationcited by 9
  33. 2022IVT: An End-to-End Instance-guided Video Transformer for 3D Pose Estimationcited by 6
  34. 2023Human Pose-based Estimation, Tracking and Action Recognition with Deep Learning: A Surveycited by 6
  35. 2023ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimationcited by 6
  36. 2024HumMUSS: Human Motion Understanding using State Space Modelscited by 6
  37. 2021Motion Projection Consistency Based 3D Human Pose Estimation with Virtual Bones from Monocular Videoscited by 5
  38. 2024GTA-Net: An IoT-Integrated 3D Human Pose Estimation System for Real-Time Adolescent Sports Posture Correctioncited by 5

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