Research map / 3D vision / Human pose estimation
Unsupervised 3D Pose Estimation With Geometric Self-Supervision
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add geometric self-consistency to the 2D pose discriminator (ablation) | 3D lifter · Human3.6M | MPJPE: 61 -> 58 | Helped |
| Use self-consistency alone instead of the 2D pose discriminator (ablation) | 3D lifter · Human3.6M | MPJPE: 61 -> 162 | Hurt |
| Add symmetry constraints to self-consistency alone (ablation) | 3D lifter · Human3.6M | MPJPE: 162 -> 168 | Hurt |
| Add adapted Kinetics 2D poses (ablation) | Adv + SS lifter · Human3.6M | MPJPE: 58 -> 55 | Helped |
| Add the temporal discriminator during training (ablation) | Adv + SS + DA lifter · Human3.6M | MPJPE: 55 -> 51 | Helped |
| Fine-tune with 5% of Human3.6M 3D data (ablation) | Unsupervised model · Human3.6M | MPJPE: 55 -> 37 | Helped |
| Use 17M completed Kinetics skeletons instead of 9M complete skeletons (ablation) | 3D lifter · Human3.6M | MPJPE: 55 -> 48 | Helped |
Closest papers by meaning
- Self-Supervised 3D Human Mesh Recovery from a Single Image with Uncertainty-Aware Learning (AAAI 2024 · similarity 0.89)
- PandaPose: 3D Human Pose Lifting from a Single Image via Propagating 2D Pose Prior to 3D Anchor Space (NeurIPS 2025 · similarity 0.88)
- VideoMDM: Towards 3D Human Motion Generation From 2D Supervision (NeurIPS 2026 · similarity 0.88)
- ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation (NeurIPS 2024 · similarity 0.88)
- Reconstructing Humans with a Biomechanically Accurate Skeleton (CVPR 2025 · similarity 0.88)
- Unsupervised Learning of Category-Level 3D Pose from Object-Centric Videos (CVPR 2024 · similarity 0.87)
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