Research map / 3D vision / Human pose estimation
3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add mode reprojection loss (ablation) | n-quantized-best-of-M · 3DPW | MPJPE: 76.2 -> 75.8 | Helped |
| add mode reprojection loss (ablation) | n-quantized-best-of-M · 3DPW | RE: 55.9 -> 55.6 | Helped |
| add normalizing-flow weighting (ablation) | n-quantized-best-of-M · 3DPW | MPJPE: 77.8 -> 75.8 | Helped |
| add normalizing-flow weighting (ablation) | n-quantized-best-of-M · 3DPW | RE: 55.8 -> 55.6 | Helped |
| use multi-hypothesis predictions rather than a single output | Ours · 3DPW | MPJPE: 93.8 -> 75.8 | Helped |
| use multi-hypothesis predictions rather than a single output | Ours · AH36M | MPJPE: 103.6 -> 90.0 | Helped |
Closest papers by meaning
- Generating Multiple Hypotheses for 3D Human Pose Estimation With Mixture Density Network (CVPR 2019 · similarity 0.89)
- Coherent Reconstruction of Multiple Humans From a Single Image (CVPR 2020 · similarity 0.89)
- ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation (NeurIPS 2024 · similarity 0.88)
- Self-Supervised 3D Human Mesh Recovery from a Single Image with Uncertainty-Aware Learning (AAAI 2024 · similarity 0.88)
- MultiGO: Towards Multi-level Geometry Learning for Monocular 3D Textured Human Reconstruction (CVPR 2025 · similarity 0.88)
- TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation (CVPR 2024 · similarity 0.87)
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