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Human Motion Capture

Collecting papers about human motion capture

:bowtie:⭐🔥💪 I will update each day and add more details about every paper ☀️☀️☀️

NOTE : Since motion capture is a field that has been studied for many years, I will collect the up to date papers first and then try to gather the old but classical one.

methods based directly on video

  1. Physically Plausible Monocular 3D Motion Capture [project] image
  2. "Neural PhysCap" Neural Monocular 3D Human Motion Capture with Physical Awareness [project] image
  3. XNect: real-time multi-person 3D motion capture with a single RGB camera[project] image
  4. 4D Association Graph for Realtime Multi-person Motion Capture Using Multiple Video Cameras [code] image
  5. VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera [project] image
  6. TesseTrack: End-to-End Learnable Multi-Person Articulated 3D Pose Tracking [project] image
  7. Synergetic Reconstruction from 2D Pose and 3D Motion for Wide-Space Multi-Person Video Motion Capture in the Wild [project] image
  8. MonoPerfCap: Human Performance Capture from Monocular Video [project] image
  9. Capturing Detailed Deformations of Moving Human Bodies [project] image
  10. Lightweight Multi-person Total Motion Capture Using Sparse Multi-view Cameras [project] image
  11. Learning Dynamical Human-Joint Affinity for 3D Pose Estimation in Videos [pdf] image
  12. Direct Multi-view Multi-person 3D Human Pose Estimation [code] image
  13. Human Performance Capture from Monocular Video in the Wild [pdf] image
  14. Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-Learning[pdf] | [code] image
  15. Human Dynamics from Monocular Video with Dynamic Camera Movements [code] | [project] image
  16. AirPose: Multi-View Fusion Network for Aerial 3D Human Pose and Shape Estimation [code]
  17. Neural MoCon: Neural Motion Control for Physically Plausible Human Motion Capture [project] image
  18. Permutation-Invariant Relational Network for Multi-person 3D Pose Estimation [pdf]
  19. PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision [code]
  20. Generalizable Human Pose Triangulation [code]
  21. Differentiable Dynamics for Articulated 3d Human Motion Reconstruction [pdf]
  22. VTP: Volumetric Transformer for Multi-view Multi-person 3D Pose Estimation [pdf]
  23. Trajectory Optimization for Physics-Based Reconstruction of 3d Human Pose from Monocular Video [pdf]
  24. Learning Variational Motion Prior for Video-based Motion Capture [pdf]

methods based on body model such as smpl/smpl-x

Note that there are some papers that I don't list here most because I have tested it and the result is not so good(e,g. frankmocap,VIBE and so on)

  1. Contact and Human Dynamics from Monocular Video [code] image
  2. DeepMultiCap: Performance Capture of Multiple Characters Using Sparse Multiview Cameras [project] image
  3. Monocular, One-stage, Regression of Multiple 3D People [code] image
  4. BEV:Putting People in their Place,Monocular Regression of 3D People in Depth [project] image
  5. PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop [project] image
  6. End-to-End Human Pose and Mesh Reconstruction with Transformers [code] image
  7. Pose2Pose: 3D Positional Pose-Guided 3D Rotational Pose Prediction for Expressive 3D Human Pose and Mesh Estimation[paper] | [code] image
  8. AGORA: Avatars in Geography Optimized for Regression Analysis [code] image
  9. Real-time RGBD-based Extended Body Pose Estimation [code] image
  10. EasyMocap [code]
  11. PanoMan: Sparse Localized Components–based Model for Full Human Motions [paper] image
  12. Monocular Total Capture: Posing Face, Body and Hands in the Wild [code] image
  13. Full-body motion capture for multiple closely interacting persons [paper] image
  14. PARE: Part Attention Regressor for 3D Human Body Estimation [project] | [code] image
  15. DSFN: Dynamic Surface Function Networks for Clothed Human Bodies [code]
  16. 3D Human Pose and Shape Estimation Through Collaborative Learning and Multi-view Model-fitting [code]
  17. On Self-Contact and Human Pose [project]
  18. KAMA: 3D Keypoint Aware Body Mesh Articulation [paper] | [video]
  19. Bilevel Online Adaptation for Out-of-Domain Human Mesh Reconstruction [code]
  20. Multi-person Implicit Reconstruction from a Single Image [paper] | [video]
  21. Body Meshes as Points [code]
  22. Collaborative Regression of Expressive Bodies using Moderation [project]
  23. Deep3DPose: Realtime Reconstruction of Arbitrarily Posed Human Bodies from Single RGB Images [paper]
  24. RobustFusion: Robust Volumetric Performance Reconstruction under Human-object Interactions from Monocular RGBD Stream [paper]
  25. Monocular Real-time Full Body Capture with Inter-part Correlations [project]
  26. Learning Complex 3D Human Self-Contact [pdf]
  27. Learning Local Recurrent Models for Human Mesh Recovery [pdf]
  28. LASOR: Learning Accurate 3D Human Pose and Shape Via Synthetic Occlusion-Aware Data and Neural Mesh Rendering [pdf]
  29. HuMoR: 3D Human Motion Model for Robust Pose Estimation [code]
  30. Probabilistic Modeling for Human Mesh Recovery [code]
  31. NeMF: Neural Motion Fields for Kinematic Animation [pdf]
  32. Encoder-decoder with Multi-level Attention for 3D Human Shape and PoseEstimation [code]
  33. LEMO: Learning Motion Priors for 4D Human Body Capture in 3D Scenes [ptoject]
  34. Shape-aware Multi-Person Pose Estimation from Multi-View Images [project]
  35. SPEC: Seeing People in the Wild with an Estimated Camera [project]
  36. Learning to Regress Bodies from Images using Differentiable Semantic Rendering [code]
  37. Mesh Graphormer [code]
  38. VoteHMR: Occlusion-Aware Voting Network for Robust 3D Human Mesh Recovery from Partial Point Clouds [pdf] | [code]
  39. Leveraging MoCap Data for Human Mesh Recovery [pdf]
  40. PIXIE: Collaborative Regression of Expressive Bodies [code]
  41. Dynamic Multi-Person Mesh Recovery From Uncalibrated Multi-View Cameras [pdf] }| [code]
  42. Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wild [code]
  43. Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation [code]
  44. Tracking People with 3D Representations [code]
  45. LatentHuman: Shape-and-Pose Disentangled Latent Representation for for Human Bodies[project]
  46. PoseBERT [project]
  47. Camera Motion Agnostic 3D Human Pose Estimation [code]
  48. GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras [project]
  49. Revitalizing Optimization for 3D Human Pose and Shape Estimation: A Sparse Constrained Formulation [project]
  50. ICON: Implicit Clothed humans Obtained from Normals [code]
  51. Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video [project]
  52. Occluded Human Mesh Recovery [pdf]
  53. Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation [code]
  54. Accurate 3D Hand Pose Estimation for Whole-Body 3D Human Mesh Estimation [code]
  55. CHOMP: Occluded Human Body Capture with Self-Supervised Spatial-Temporal Motion Prior [code]
  56. PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular Images [project]
  57. Benchmarking 3D Pose and Shape Estimation Beyond Algorithms [code]
  58. Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers [code]
  59. CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation [code]
  60. Learning Visibility for Robust Dense Human Body Estimation [code]
  61. XRMocap - multi-view motion capture [code]
  62. CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation [code]

human 3d pose estimation

  1. Freemocap [code]
  2. MeTRAbs: Metric-Scale Truncation-Robust Heatmaps for Absolute 3D Human Pose Estimation [code]
  3. Part-aware Measurement for Robust Multi-View Multi-Human 3D Pose Estimation and Tracking [code]
  4. Multi-View Multi-Person 3D Pose Estimation with Plane Sweep Stereo [code]
  5. 3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks [code]
  6. CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wild [paper]
  7. 3D Human Pose Estimation with Spatial and Temporal Transformers [code]
  8. Weakly-Supervised 3D Human Pose Learning via Multi-view Images in the Wild [paper]
  9. AdaFuse: Adaptive Multiview Fusion for Accurate Human Pose Estimation in the Wild [code]
  10. Improving Robustness and Accuracy via Relative Information Encoding in 3D Human Pose Estimation [code]
  11. Probabilistic-Monocular-3D-Human-Pose-Estimation-with-Normalizing-Flows [code]
  12. VoxelTrack: Multi-Person 3D Human Pose Estimation and Tracking in the Wild [pdf]
  13. MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision [pdf]
  14. CrossFormer: Cross Spatio-Temporal Transformer for 3D Human Pose Estimation[pdf]
  15. Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation [project]
  16. Ray3D: ray-based 3D human pose estimation for monocular absolute 3D localization [code]
  17. PedRecNet: Multi-task deep neural network for full 3D human pose and orientation estimation [code]
  18. Exploiting Temporal Contexts with Strided Transformer for 3D Human Pose Estimation [code]
  19. PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision [code]
  20. A Dual-Masked Auto-Encoder for Robust Motion Capture with Spatial-Temporal Skeletal Token Completion [pdf]
  21. DeciWatch: A Simple Baseline for 10× Efficient 2D and 3D Pose Estimation [project]
  22. VirtualPose: Learning Generalizable 3D Human Pose Models from Virtual Data [code]
  23. Faster VoxelPose: Real-time 3D Human Pose Estimation by Orthographic Projection [pdf]
  24. KinePose: A temporally optimized inverse kinematics technique for 6DOF human pose estimation with biomechanical constraint [code]
  25. A Dual-Masked Auto-Encoder for Robust Motion Capture with Spatial-Temporal Skeletal Token Completion [code]

simplify optical or inertial based motion capture

  1. Real-Time Multi-person Motion Capture from Multi-view Video and IMUs[paper]
  2. TransPose [code]
  3. Physical Inertial Poser (PIP):Physics-aware Real-time Human Motion Tracking from Sparse Inertial Sensors [project]
  4. EM-POSE: 3D Human Pose Estimation from Sparse Electromagnetic Trackers [code]
  5. HybridCap: Inertia-aid Monocular Capture of Challenging Human Motions [pdf]
  6. Transformer Inertial Poser: Attention-based Real-time Human Motion Reconstruction from Sparse IMUs [pdf]
  7. DeMoCap: Low-cost Marker-based Motion Capture [code]
  8. LiDAR-aid Inertial Poser: Large-scale Human Motion Capture by Sparse Inertial and LiDAR Sensors [pdf]
  9. AvatarPoser: Articulated Full-Body Pose Tracking from Sparse Motion Sensing [code]
  10. HybridTrak: Adding Full-Body Tracking to VR Using an Off-the-Shelf Webcam [video]
  11. FusePose: IMU-Vision Sensor Fusion in Kinematic Space for Parametric Human Pose Estimation [pdf]
  12. Fusion Poser: 3D Human Pose Estimation using Sparse IMUs and Head Tracker in real-time [code]
  13. QuestSim: Human Motion Tracking from Sparse Sensors with Simulated Avatars [pdf]
  14. TIP: Real-time Human Motion Reconstruction from Sparse IMUs with Simultaneous Terrain Generation [pdf]
  15. FLAG: Flow-based 3D Avatar Generation from Sparse Observations [project]
  16. Combining Motion Matching and Orientation Prediction to Animate Avatars for Consumer-Grade VR Devices [project]
  17. Faster Deep Inertial Pose Estimation with Six Inertial Sensors [code]
  18. Neural3Points: Learning to Generate Physically Realistic Full-body Motion for Virtual Reality Users [pdf]

human motion capture in 3d scene

  1. 4D Human Body Capture from Egocentric Video via 3D Scene Grounding [project]
  2. LEMO Learning Motion Priors for 4D Human Body Capture in 3D Scenes [project]
  3. Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-localization in Large Scenes from Body-Mounted Sensors [project]
  4. EgoBody Dataset:Human Body Shape, Motion and Social Interactions from Head-Mounted Devices[project]
  5. GOAL: Generating 4D Whole-Body Motion for Hand-Object Grasping [project]
  6. HSC4D: Human-centered 4D Scene Capture in Large-scale Indoor-outdoor Space Using Wearable IMUs and LiDAR [project]
  7. Human-Aware Object Placement for Visual Environment Reconstruction [project]
  8. COAP: Compositional Articulated Occupancy of People [project]
  9. BEHAVE: Dataset and Method for Tracking Human Object Interactions [project]
  10. Synthesizing Long-Term 3D Human Motion and Interaction in 3D [project]
  11. Visually plausible human-object interaction capture from wearable sensors [project]
  12. HULC: 3D HUman Motion Capture with Pose Manifold Sampling and Dense Contact Guidance [project]
  13. Towards Diverse and Natural Scene-aware 3D Human Motion Synthesis [pdf]
  14. MoCapDeform: Monocular 3D Human Motion Capture in Deformable Scenes [project]
  15. The One Where They Reconstructed 3D Humans and Environments in TV Shows [project]
  16. Stochastic Scene-Aware Motion Prediction [code]
  17. COINS : Compositional Human-Scene Interaction Synthesis with Semantic Control [projects]
  18. Placing Human Animations into 3D Scenes by Learning Interaction- and Geometry-Driven Keyframes [[project]
  19. InterCap: Joint Markerless 3D Tracking of Humans and Objects in Interaction [project]
  20. HUMANISE: Language-conditioned Human Motion Generation in 3D Scenes [project]

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