mlsanityData to 7 Oct 2026

Monocular 3D Human Pose Estimation In The Wild Using Improved CNN Supervision

arXiv 1611.09813 ↗First posted 29 Nov 2016cs.CVcited by 493

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Cited by 25 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

We propose a CNN-based approach for 3D human body pose estimation from single RGB images that addresses the issue of limited generalizability of models trained solely on the starkly limited publicly available 3D pose data. Using only the existing 3D pose data and 2D pose data, we show state-of-the-art performance on established benchmarks through transfer of learned features, while also generalizing to in-the-wild scenes. We further introduce a new training set for human body pose estimation from monocular images of real humans that has the ground truth captured with a multi-camera marker-less motion capture system. It complements existing corpora with greater diversity in pose, human appearance, clothing, occlusion, and viewpoints, and enables an increased scope of augmentation. We also contribute a new benchmark that covers outdoor and indoor scenes, and demonstrate that our 3D pose dataset shows better in-the-wild performance than existing annotated data, which is further improved in conjunction with transfer learning from 2D pose data. All in all, we argue that the use of transfer learning of representations in tandem with algorithmic and data contributions is crucial for general 3D body pose estimation.

Key facts. Cited by 493 papers in the map (data through 7 Oct 2026). First posted on arXiv 29 Nov 2016.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 83; 2022: 88; 2023: 125; 2024: 84; 2025: 73; 2026: 40.

493 papers.

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  1. 2022MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Modelcited by 768
  2. 2023Humans in 4D: Reconstructing and Tracking Humans with Transformerscited by 344
  3. 2021PARE: Part Attention Regressor for 3D Human Body Estimationcited by 334
  4. 20213D Human Pose Estimation with Spatial and Temporal Transformerscited by 271
  5. 2021PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loopcited by 250
  6. 2022CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimationcited by 237
  7. 2021A-NeRF: Articulated Neural Radiance Fields for Learning Human Shape, Appearance, and Posecited by 233
  8. 2023BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated Motioncited by 229
  9. 2021AGORA: Avatars in Geography Optimized for Regression Analysiscited by 203
  10. 2023WHAM: Reconstructing World-grounded Humans with Accurate 3D Motioncited by 200
  11. 2022MotionBERT: A Unified Perspective on Learning Human Motion Representationscited by 188
  12. 2022Capturing and Inferring Dense Full-Body Human-Scene Contactcited by 176
38 more
  1. 2023HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motioncited by 161
  2. 2022MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Videocited by 158
  3. 2023SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimationcited by 154
  4. 2021Probabilistic Modeling for Human Mesh Recoverycited by 152
  5. 2022PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular Imagescited by 152
  6. 2021MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimationcited by 151
  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. 2021SPEC: Seeing People in the Wild with an Estimated Cameracited by 134
  11. 2021Human Pose Regression with Residual Log-likelihood Estimationcited by 131
  12. 2023One-Stage 3D Whole-Body Mesh Recovery with Component Aware Transformercited by 128
  13. 2023State of the Art on Diffusion Models for Visual Computingcited by 126
  14. 2022HuMMan: Multi-Modal 4D Human Dataset for Versatile Sensing and Modelingcited by 115
  15. 2024TRAM: Global Trajectory and Motion of 3D Humans from in-the-wild Videoscited by 105
  16. 2022Recovering 3D Human Mesh from Monocular Images: A Surveycited by 103
  17. 2023DNA-Rendering: A Diverse Neural Actor Repository for High-Fidelity Human-centric Renderingcited by 103
  18. 20233D Human Pose Estimation via Intuitive Physicscited by 100
  19. 2022Not All Tokens Are Equal: Human-centric Visual Analysis via Token Clustering Transformercited by 99
  20. 2022DiffPose: Toward More Reliable 3D Pose Estimationcited by 99
  21. 2023EMDB: The Electromagnetic Database of Global 3D Human Pose and Shape in the Wildcited by 95
  22. 2021Graph Stacked Hourglass Networks for 3D Human Pose Estimationcited by 94
  23. 2024TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representationcited by 93
  24. 2023PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimationcited by 91
  25. 2022Balanced MSE for Imbalanced Visual Regressioncited by 89
  26. 2023TRACE: 5D Temporal Regression of Avatars with Dynamic Cameras in 3D Environmentscited by 89
  27. 2021On Self-Contact and Human Posecited by 88
  28. 2021PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimationcited by 88
  29. 2021Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flowscited by 84
  30. 2023Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregationcited by 81
  31. 2022P-STMO: Pre-Trained Spatial Temporal Many-to-One Model for 3D Human Pose Estimationcited by 80
  32. 2023MM-Fi: Multi-Modal Non-Intrusive 4D Human Dataset for Versatile Wireless Sensingcited by 77
  33. 2023ChatPose: Chatting about 3D Human Posecited by 71
  34. 2021Neural Monocular 3D Human Motion Capture with Physical Awarenesscited by 70
  35. 2025PromptHMR: Promptable Human Mesh Recoverycited by 70
  36. 2022DiffPose: Multi-hypothesis Human Pose Estimation using Diffusion modelscited by 65
  37. 2024Large Motion Model for Unified Multi-Modal Motion Generationcited by 65
  38. 2021Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenescited by 64

50 most cited of 493 All 493 (JSON)