Dynamics-Regulated Kinematic Policy for Egocentric Pose Estimation
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Abstract (arXiv)
We propose a method for object-aware 3D egocentric pose estimation that tightly integrates kinematics modeling, dynamics modeling, and scene object information. Unlike prior kinematics or dynamics-based approaches where the two components are used disjointly, we synergize the two approaches via dynamics-regulated training. At each timestep, a kinematic model is used to provide a target pose using video evidence and simulation state. Then, a prelearned dynamics model attempts to mimic the kinematic pose in a physics simulator. By comparing the pose instructed by the kinematic model against the pose generated by the dynamics model, we can use their misalignment to further improve the kinematic model. By factoring in the 6DoF pose of objects (e.g., chairs, boxes) in the scene, we demonstrate for the first time, the ability to estimate physically-plausible 3D human-object interactions using a single wearable camera. We evaluate our egocentric pose estimation method in both controlled laboratory settings and real-world scenarios.
Key facts. Cited by 101 papers in the map (data through 7 Oct 2026). Builds on 43 of its 68 references that are in the map. First posted on arXiv 10 Jun 2021.
Builds on
43 of 68 references.
References · 43
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- 2020I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Imagecited by 274
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- 2019Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Imagecited by 131
- 2021SimPoE: Simulated Character Control for 3D Human Pose Estimationcited by 111
- 2019MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policiescited by 105
- 2019DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Comparecited by 100
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- 2020Contact and Human Dynamics from Monocular Videocited by 94
- 2017Exploiting temporal information for 3D pose estimationcited by 89
- 2018LCR-Net++: Multi-person 2D and 3D Pose Detection in Natural Imagescited by 88
- 2019Ego-Pose Estimation and Forecasting as Real-Time PD Controlcited by 87
- 2019You2Me: Inferring Body Pose in Egocentric Video via First and Second Person Interactionscited by 82
- 2019xR-EgoPose: Egocentric 3D Human Pose from an HMD Cameracited by 78
- 2020Hierarchical Kinematic Human Mesh Recoverycited by 71
- 2021Neural Monocular 3D Human Motion Capture with Physical Awarenesscited by 70
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- 2020PhysCap: Physically Plausible Monocular 3D Motion Capture in Real Timecited by 50
- 2019In the Wild Human Pose Estimation Using Explicit 2D Features and Intermediate 3D Representationscited by 48
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- 2016Seeing Invisible Poses: Estimating 3D Body Pose from Egocentric Videocited by 45
- 2016Structured Prediction of 3D Human Pose with Deep Neural Networkscited by 43
- 2019Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Controlcited by 39
- 2020UniCon: Universal Neural Controller For Physics-based Character Motioncited by 39
- 2020Optical Non-Line-of-Sight Physics-based 3D Human Pose Estimationcited by 34
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Citing papers per year: 2021: 2; 2022: 16; 2023: 17; 2024: 32; 2025: 21; 2026: 13.
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