Research map / 3D vision / 3D generation
KeypointNet: A Large-Scale 3D Keypoint Dataset Aggregated From Numerous Human Annotations
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use RSNet rather than the other evaluated networks for keypoint correspondence estimation | Keypoint correspondence estimation · KeypointNet test | PCK | Helped |
| Use learned point-cloud methods to predict keypoint saliency | Keypoint saliency estimation · KeypointNet test | mIoU | Mixed |
| Use embedding-space fidelity optimization with a Gaussian annotation distribution to aggregate human labels | KeypointNet annotation aggregation · KeypointNet | annotation fidelity | Helped |
Closest papers by meaning
- Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected 2D Features (CVPR 2024 · similarity 0.89)
- Unsupervised 3D Structure Inference from Category-Specific Image Collections (CVPR 2024 · similarity 0.89)
- Key-Grid: Unsupervised 3D Keypoints Detection using Grid Heatmap Features (NeurIPS 2024 · similarity 0.87)
- ImageNet3D: Towards General-Purpose Object-Level 3D Understanding (NeurIPS 2024 · similarity 0.86)
- KeyPose: Category-Level 6D Object Pose Estimation with Self-Adaptive Keypoints (AAAI 2025 · similarity 0.86)
- LabelAny3D: Label Any Object 3D in the Wild (NeurIPS 2025 · similarity 0.86)
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