Cvpr 2020 Point Cloud Analysis
CVPR 2020 papers focusing on point cloud analysis
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Learning Deep Learning | 943 | 4 months ago | 1 | Jupyter Notebook | ||||||
| Paper reading notes on Deep Learning and Machine Learning | ||||||||||
| Awesome 3d Object Detection | 437 | 5 months ago | ||||||||
| Papers, code and datasets about deep learning for 3D Object Detection. | ||||||||||
| Deepglobalregistration | 402 | 8 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) | ||||||||||
| So Net | 296 | 3 years ago | 7 | mit | Python | |||||
| SO-Net: Self-Organizing Network for Point Cloud Analysis, CVPR2018 | ||||||||||
| Diffusion Point Cloud | 295 | a year ago | 5 | mit | Python | |||||
| :thought_balloon: Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021) | ||||||||||
| Graspnet Baseline | 280 | 8 months ago | 2 | other | Python | |||||
| Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020) | ||||||||||
| Awesome 3d Detectors | 249 | 2 years ago | 1 | |||||||
| Paperlist of awesome 3D detection methods | ||||||||||
| Asis | 202 | 5 years ago | 10 | mit | Python | |||||
| Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019 | ||||||||||
| Deepviewagg | 195 | 8 months ago | other | Python | ||||||
| [CVPR'22 Best Paper Finalist] Official PyTorch implementation of the method presented in "Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation" | ||||||||||
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