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Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a Video

arXiv 2011.08627 ↗First posted 17 Nov 2020cs.CVcited by 162

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Abstract (arXiv)

Despite the recent success of single image-based 3D human pose and shape estimation methods, recovering temporally consistent and smooth 3D human motion from a video is still challenging. Several video-based methods have been proposed; however, they fail to resolve the single image-based methods' temporal inconsistency issue due to a strong dependency on a static feature of the current frame. In this regard, we present a temporally consistent mesh recovery system (TCMR). It effectively focuses on the past and future frames' temporal information without being dominated by the current static feature. Our TCMR significantly outperforms previous video-based methods in temporal consistency with better per-frame 3D pose and shape accuracy. We also release the codes. For the demo video, see https://youtu.be/WB3nTnSQDII. For the codes, see https://github.com/hongsukchoi/TCMR_RELEASE.

Key facts. Cited by 162 papers in the map (data through 7 Oct 2026). First posted on arXiv 17 Nov 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 18; 2022: 26; 2023: 33; 2024: 37; 2025: 22; 2026: 26.

162 papers.

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  1. 2023Humans in 4D: Reconstructing and Tracking Humans with Transformerscited by 344
  2. 2021Mesh Graphormercited by 264
  3. 2022CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimationcited by 237
  4. 2023WHAM: Reconstructing World-grounded Humans with Accurate 3D Motioncited by 200
  5. 2022MotionBERT: A Unified Perspective on Learning Human Motion Representationscited by 188
  6. 2022PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular Imagescited by 152
  7. 2021GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Camerascited by 151
  8. 2023Decoupling Human and Camera Motion from Videos in the Wildcited by 140
  9. 2021EgoBody: Human Body Shape and Motion of Interacting People from Head-Mounted Devicescited by 136
  10. 2024World-Grounded Human Motion Recovery via Gravity-View Coordinatescited by 127
  11. 2022HuMMan: Multi-Modal 4D Human Dataset for Versatile Sensing and Modelingcited by 115
  12. 2024TRAM: Global Trajectory and Motion of 3D Humans from in-the-wild Videoscited by 105
38 more
  1. 2022Recovering 3D Human Mesh from Monocular Images: A Surveycited by 103
  2. 2021Learning Motion Priors for 4D Human Body Capture in 3D Scenescited by 98
  3. 2022HandOccNet: Occlusion-Robust 3D Hand Mesh Estimation Networkcited by 95
  4. 2022Ego-Body Pose Estimation via Ego-Head Pose Estimationcited by 93
  5. 2021MobRecon: Mobile-Friendly Hand Mesh Reconstruction from Monocular Imagecited by 74
  6. 2025PromptHMR: Promptable Human Mesh Recoverycited by 70
  7. 2021Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenescited by 64
  8. 2021SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videoscited by 64
  9. 2021Playing for 3D Human Recoverycited by 63
  10. 2025HaWoR: World-Space Hand Motion Reconstruction from Egocentric Videoscited by 62
  11. 2022Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Videocited by 59
  12. 2023ReFit: Recurrent Fitting Network for 3D Human Recoverycited by 47
  13. 2023Global-to-Local Modeling for Video-based 3D Human Pose and Shape Estimationcited by 46
  14. 2024RoHM: Robust Human Motion Reconstruction via Diffusioncited by 46
  15. 2023NIKI: Neural Inverse Kinematics with Invertible Neural Networks for 3D Human Pose and Shape Estimationcited by 45
  16. 20233D Human Mesh Estimation from Virtual Markerscited by 44
  17. 2025GENMO: A GENeralist Model for Human MOtioncited by 43
  18. 2022D&D: Learning Human Dynamics from Dynamic Cameracited by 39
  19. 2025Human3R: Everyone Everywhere All at Oncecited by 35
  20. 2021Task-Generic Hierarchical Human Motion Prior using VAEscited by 33
  21. 2023PACE: Human and Camera Motion Estimation from in-the-wild Videoscited by 33
  22. 2023PSVT: End-to-End Multi-person 3D Pose and Shape Estimation with Progressive Video Transformerscited by 31
  23. 2022HULC: 3D Human Motion Capture with Pose Manifold Sampling and Dense Contact Guidancecited by 29
  24. 2024Joint Reconstruction of 3D Human and Object via Contact-Based Refinement Transformercited by 29
  25. 2024PhysPT: Physics-aware Pretrained Transformer for Estimating Human Dynamics from Monocular Videoscited by 27
  26. 2024Towards Open Domain Text-Driven Synthesis of Multi-Person Motionscited by 27
  27. 2023Co-Evolution of Pose and Mesh for 3D Human Body Estimation from Videocited by 25
  28. 2022H3WB: Human3.6M 3D WholeBody Dataset and Benchmarkcited by 23
  29. 2022FLAG3D: A 3D Fitness Activity Dataset with Language Instructioncited by 23
  30. 2021A Lightweight Graph Transformer Network for Human Mesh Reconstruction from 2D Human Posecited by 21
  31. 2023Deformer: Dynamic Fusion Transformer for Robust Hand Pose Estimationcited by 21
  32. 2023RaBit: Parametric Modeling of 3D Biped Cartoon Characters with a Topological-consistent Datasetcited by 18
  33. 2023Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh Reconstructioncited by 18
  34. 2024MultiPhys: Multi-Person Physics-aware 3D Motion Estimationcited by 18
  35. 2024Synergistic Global-space Camera and Human Reconstruction from Videoscited by 17
  36. 2021Learning to Fit Morphable Modelscited by 16
  37. 2025BioPose: Biomechanically-accurate 3D Pose Estimation from Monocular Videoscited by 16
  38. 2022H4D: Human 4D Modeling by Learning Neural Compositional Representationcited by 15

50 most cited of 162 All 162 (JSON)