mlsanityData to 14 Oct 2026

Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB

arXiv 1712.03453 ↗First posted 9 Dec 2017cs.CVcited by 195

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Abstract (arXiv)

We propose a new single-shot method for multi-person 3D pose estimation in general scenes from a monocular RGB camera. Our approach uses novel occlusion-robust pose-maps (ORPM) which enable full body pose inference even under strong partial occlusions by other people and objects in the scene. ORPM outputs a fixed number of maps which encode the 3D joint locations of all people in the scene. Body part associations allow us to infer 3D pose for an arbitrary number of people without explicit bounding box prediction. To train our approach we introduce MuCo-3DHP, the first large scale training data set showing real images of sophisticated multi-person interactions and occlusions. We synthesize a large corpus of multi-person images by compositing images of individual people (with ground truth from mutli-view performance capture). We evaluate our method on our new challenging 3D annotated multi-person test set MuPoTs-3D where we achieve state-of-the-art performance. To further stimulate research in multi-person 3D pose estimation, we will make our new datasets, and associated code publicly available for research purposes.

Key facts. Cited by 195 papers in the map (data through 14 Oct 2026). First posted on arXiv 9 Dec 2017.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 39; 2022: 47; 2023: 46; 2024: 28; 2025: 21; 2026: 14.

195 papers.

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  1. 2023Human Motion Diffusion as a Generative Priorcited by 357
  2. 2021Mesh Graphormercited by 265
  3. 2023BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated Motioncited by 236
  4. 2021AGORA: Avatars in Geography Optimized for Regression Analysiscited by 205
  5. 2023SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimationcited by 155
  6. 2021Putting People in their Place: Monocular Regression of 3D People in Depthcited by 142
  7. 2021SPEC: Seeing People in the Wild with an Estimated Cameracited by 135
  8. 2021SimPoE: Simulated Character Control for 3D Human Pose Estimationcited by 114
  9. 2022Recovering 3D Human Mesh from Monocular Images: A Surveycited by 103
  10. 2024Multi-HMR: Multi-Person Whole-Body Human Mesh Recovery in a Single Shotcited by 101
  11. 2021Learning Motion Priors for 4D Human Body Capture in 3D Scenescited by 98
  12. 2023TRACE: 5D Temporal Regression of Avatars with Dynamic Cameras in 3D Environmentscited by 91
38 more
  1. 2021PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimationcited by 89
  2. 2023Hi4D: 4D Instance Segmentation of Close Human Interactioncited by 87
  3. 2022Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformerscited by 81
  4. 2021Multi-Person Extreme Motion Predictioncited by 75
  5. 2022LASSIE: Learning Articulated Shapes from Sparse Image Ensemble via 3D Part Discoverycited by 66
  6. 2021Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenescited by 65
  7. 2021Playing for 3D Human Recoverycited by 64
  8. 2021SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videoscited by 64
  9. 2021Multi-Person 3D Motion Prediction with Multi-Range Transformerscited by 63
  10. 2023EgoHumans: An Egocentric 3D Multi-Human Benchmarkcited by 60
  11. 2024Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimationcited by 59
  12. 2022UnrealEgo: A New Dataset for Robust Egocentric 3D Human Motion Capturecited by 57
  13. 2022MIME: Human-Aware 3D Scene Generationcited by 57
  14. 2024HOI-M3:Capture Multiple Humans and Objects Interaction within Contextual Environmentcited by 53
  15. 2021Recent Advances in Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspectivecited by 50
  16. 2021THUNDR: Transformer-based 3D HUmaN Reconstruction with Markerscited by 50
  17. 2022Learning 3D Human Pose Estimation from Dozens of Datasets using a Geometry-Aware Autoencoder to Bridge Between Skeleton Formatscited by 50
  18. 2023HybrIK-X: Hybrid Analytical-Neural Inverse Kinematics for Whole-body Mesh Recoverycited by 49
  19. 2021Reconstructing 3D Human Pose by Watching Humans in the Mirrorcited by 47
  20. 2021Body Meshes as Pointscited by 45
  21. 2022D&D: Learning Human Dynamics from Dynamic Cameracited by 41
  22. 2022TORE: Token Reduction for Efficient Human Mesh Recovery with Transformercited by 41
  23. 2023Zolly: Zoom Focal Length Correctly for Perspective-Distorted Human Mesh Reconstructioncited by 41
  24. 2022Differentiable Dynamics for Articulated 3d Human Motion Reconstructioncited by 39
  25. 2021Graph-Based 3D Multi-Person Pose Estimation Using Multi-View Imagescited by 38
  26. 2021Lightweight Multi-person Total Motion Capture Using Sparse Multi-view Camerascited by 33
  27. 2021AdaptPose: Cross-Dataset Adaptation for 3D Human Pose Estimation by Learnable Motion Generationcited by 32
  28. 2023PSVT: End-to-End Multi-person 3D Pose and Shape Estimation with Progressive Video Transformerscited by 32
  29. 2025SMPLest-X: Ultimate Scaling for Expressive Human Pose and Shape Estimationcited by 32
  30. 2025InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generationcited by 32
  31. 2024Harmony4D: A Video Dataset for In-The-Wild Close Human Interactionscited by 31
  32. 2024Multi-agent Long-term 3D Human Pose Forecasting via Interaction-aware Trajectory Conditioningcited by 30
  33. 2021HSPACE: Synthetic Parametric Humans Animated in Complex Environmentscited by 29
  34. 2024Towards Open Domain Text-Driven Synthesis of Multi-Person Motionscited by 29
  35. 2022Benchmarking and Analyzing 3D Human Pose and Shape Estimation Beyond Algorithmscited by 28
  36. 2023Stochastic Multi-Person 3D Motion Forecastingcited by 28
  37. 20233D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimationcited by 28
  38. 2023Distribution-Aligned Diffusion for Human Mesh Recoverycited by 27

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