R Pointhop
R-PointHop: A Green, Accurate and Unsupervised Point Cloud Registration Method
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Deepmapping | 191 | 10 months ago | other | Python | ||||||
| [CVPR2019 Oral] Self-supervised Point Cloud Map Estimation | ||||||||||
| Crosspoint | 179 | a year ago | 9 | Python | ||||||
| Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022) | ||||||||||
| Unsupervisedpointcloudreconstruction | 154 | 2 years ago | mit | Python | ||||||
| Experiments on unsupervised point cloud reconstruction. | ||||||||||
| 3d_url_survey | 100 | a year ago | ||||||||
| (TPAMI2023) Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey | ||||||||||
| Ms3d | 89 | 6 months ago | apache-2.0 | Python | ||||||
| Auto-labeling of point cloud sequences for 3D object detection using an ensemble of experts and temporal refinement | ||||||||||
| Weakly Supervised 3d Object Detection | 85 | 2 years ago | 7 | mit | Jupyter Notebook | |||||
| Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020 | ||||||||||
| 3d Ads | 53 | a year ago | 3 | mit | Python | |||||
| Official Implementation for the "Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection" paper. | ||||||||||
| Ogc | 50 | a year ago | 1 | other | Python | |||||
| 🔥OGC in PyTorch (NeurIPS 2022) | ||||||||||
| Growsp | 41 | 10 months ago | Python | |||||||
| 🔥GrowSP in PyTorch (CVPR 2023) | ||||||||||
| Pointcloududa | 19 | 2 years ago | 3 | mit | Python | |||||
| [IEEE-TMI 2021] This is our PyTorch implementation for Adapt Everywhere paper on unsupervised domain adaptation using entropy and point-cloud paper. | ||||||||||
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Python
Point Cloud
Unsupervised Learning