Dare
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Point Set Matching Registration Material | 525 | 8 months ago | 3 | |||||||
| A list of point set matching/registration resources collected by Gang Wang | ||||||||||
| Deepglobalregistration | 402 | 9 months ago | 25 | other | Python | |||||
| [CVPR 2020 Oral] A differentiable framework for 3D registration | ||||||||||
| Samplenet | 324 | 10 months ago | other | Python | ||||||
| Differentiable Point Cloud Sampling (CVPR 2020 Oral) | ||||||||||
| Universal_head_3dmm | 143 | 2 years ago | other | |||||||
| This is a Project Page of 'Towards a complete 3D morphable model of the human head' | ||||||||||
| Lorax | 73 | 5 years ago | 9 | Python | ||||||
| CVPR Paper - "3D Point Cloud Registration for Localization using a Deep Neural Network Auto-Encoder" - Partial Implementation Code | ||||||||||
| Fmr | 62 | 3 years ago | 3 | mit | Python | |||||
| This repository is the implementation of our CVPR 2020 work: "Feature-metric Registration: A Fast Semi-supervised Approach for Robust Point Cloud Registration without Correspondences" | ||||||||||
| D3feat.pytorch | 59 | 3 years ago | 4 | Python | ||||||
| [PyTorch] Official Implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features https://arxiv.org/abs/2003.03164 | ||||||||||
| Dare | 55 | 2 years ago | 5 | mit | Python | |||||
| Density Adaptive Point Set Registration | ||||||||||
| Combining3dmorphablemodels | 29 | 4 years ago | mit | MATLAB | ||||||
| Project Page of Combining 3D Morphable Models: A Large scale Face-and-Head Model - [CVPR 2019] | ||||||||||
| Awesome Deeplearning 3d Registration | 15 | 2 years ago | ||||||||
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