Research map / 3D vision / Human pose estimation
Context Modeling in 3D Human Pose Estimation: A Unified Perspective
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add ContextPose to the pose estimator | 3D pose estimator · Human3.6M S9 | MPJPE (mm): 54.38 -> 50.24 | Helped |
| Add ContextPose to the pose estimator | 3D pose estimator · Human3.6M S11 | MPJPE (mm): 35.12 -> 34.10 | Helped |
| Add ContextPose | Baseline pose estimator trained on Human3.6M · MPI-INF-3DHP, ALL | PCK: 71.3% -> 80.5% | Helped |
| Add pairwise attention (ablation) | ContextPose · Human3.6M S9 | MPJPE (mm): 52.00 -> 50.24 | Helped |
| Add pairwise attention (ablation) | ContextPose · Human3.6M S9 | MPLLE (mm): 14.58 -> 14.13 | Helped |
| Add global attention (ablation) | ContextPose · Human3.6M S9 | MPJPE (mm): 52.46 -> 50.24 | Helped |
| Add global attention (ablation) | ContextPose · Human3.6M S11 | MPJPE (mm): 34.98 -> 34.10 | No clear effect |
| Combine pairwise attention and global attention (ablation) | ContextPose · Human3.6M S9 | MPJPE (mm): 54.38 -> 50.24 | Helped |
| Use ContextPose with limb-length priors | 3D pose estimator trained on Human3.6M · MPI-INF-3DHP, ALL | AUC: 35.0 -> 42.7 | Helped |
Closest papers by meaning
- A Single 2D Pose with Context is Worth Hundreds for 3D Human Pose Estimation (NeurIPS 2023 · similarity 0.88)
- 3D Human Pose Estimation From a Single Image via Distance Matrix Regression (CVPR 2017 · similarity 0.88)
- End-To-End Learning of Deformable Mixture of Parts and Deep Convolutional Neural Networks for Human Pose Estimation (CVPR 2016 · similarity 0.87)
- Deep Semantic Graph Transformer for Multi-View 3D Human Pose Estimation (AAAI 2024 · similarity 0.87)
- ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation (NeurIPS 2024 · similarity 0.86)
- A Dual-Augmentor Framework for Domain Generalization in 3D Human Pose Estimation (CVPR 2024 · similarity 0.86)
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