| lucidrains/point-transformer-pytorch |
402 |
|
0 |
0 |
about 4 years ago |
8 |
February 12, 2022 |
10 |
mit |
Python |
| Implementation of the Point Transformer layer, in Pytorch |
| 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" |
| AutoVision-cloud/SA-Det3D |
132 |
|
0 |
0 |
almost 4 years ago |
0 |
|
5 |
mit |
Python |
| SA-Det3D: Self-attention based Context-Aware 3D Object Detection (ICCV-AvVision-2021) |
| yanx27/GACNet |
82 |
|
0 |
0 |
about 7 years ago |
0 |
|
7 |
|
Python |
| Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation' |
| XLechter/PCAN |
68 |
|
0 |
0 |
over 3 years ago |
0 |
|
1 |
|
Python |
| Code for PCAN: 3D Attention Map Learning Using Contextual Information for Point Cloud Based Retrieval |
| liuxinhai/Point2Sequence |
22 |
|
0 |
0 |
over 5 years ago |
0 |
|
5 |
other |
Python |
| Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network |
| AI-Guru/pointcloud_experiments |
6 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
Python |
| Experiments with Pointnet and GAPNet/GAPointNet. Attention and transformers for point clouds. |
