| patrick-llgc/Learning-Deep-Learning |
943 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| Paper reading notes on Deep Learning and Machine Learning |
| TianhaoFu/Awesome-3D-Object-Detection |
437 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
|
|
| Papers, code and datasets about deep learning for 3D Object Detection. |
| chrischoy/DeepGlobalRegistration |
402 |
|
0 |
0 |
over 2 years ago |
0 |
|
25 |
other |
Python |
| [CVPR 2020 Oral] A differentiable framework for 3D registration |
| itailang/SampleNet |
324 |
|
0 |
0 |
almost 3 years ago |
0 |
|
0 |
other |
Python |
| Differentiable Point Cloud Sampling (CVPR 2020 Oral) |
| lijx10/SO-Net |
296 |
|
0 |
0 |
about 5 years ago |
0 |
|
7 |
mit |
Python |
| SO-Net: Self-Organizing Network for Point Cloud Analysis, CVPR2018 |
| luost26/diffusion-point-cloud |
295 |
|
0 |
0 |
over 3 years ago |
0 |
|
5 |
mit |
Python |
| :thought_balloon: Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021) |
| graspnet/graspnet-baseline |
280 |
|
0 |
0 |
over 2 years ago |
0 |
|
2 |
other |
Python |
| Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020) |
| Hub-Tian/Awesome-3D-Detectors |
249 |
|
0 |
0 |
about 4 years ago |
0 |
|
1 |
|
|
| Paperlist of awesome 3D detection methods |
| WXinlong/ASIS |
202 |
|
0 |
0 |
almost 7 years ago |
0 |
|
10 |
mit |
Python |
| Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019 |
| drprojects/DeepViewAgg |
195 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
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" |
