alitabet / morton-netLinks
PyTorch implementation to train MortonNet and use it to compute point features. MortonNet is trained in a self-supervised fashion, and the features can be used for general tasks like part or semantic segmentation of point clouds.
☆20Updated 6 years ago
Alternatives and similar repositories for morton-net
Users that are interested in morton-net are comparing it to the libraries listed below
Sorting:
- Discrete Rotation Equivariance for Point Cloud Recognition. ICRA 2019☆23Updated 6 years ago
- Self-supervised Learning of Point Clouds via Orientation Estimation (3DV 2020)☆16Updated 4 years ago
- ECCV 2020 papers focusing on point cloud analysis☆22Updated 4 years ago
- This project releases the code for the Paper "Going Deeper with Point Networks"☆60Updated 5 years ago
- Code for Spatial Semantic Embedding Network:Fast 3D Instance Segmentation with Deep Metric Learning☆41Updated last year
- spatial transformer for 3d point clouds☆30Updated 3 years ago
- An autoregressive model for point cloud generation augmented with self-attention☆28Updated 5 years ago
- SegGCN: Efficient 3D Point Cloud Segmentation with Fuzzy Spherical Kernel☆31Updated 5 years ago
- Implementation of Iterative Transformer Network for 3D Point Cloud☆41Updated 5 years ago
- Demo source code for the paper "Equivariant Multi-View Networks".☆57Updated 2 years ago
- Regularized Graph CNN for Point Cloud Segmentation☆57Updated 7 years ago
- Implementation of Popular Deep Learning Network using pytorch☆55Updated 4 years ago
- SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters☆72Updated 7 years ago
- CVPR 2020 papers focusing on point cloud analysis☆47Updated 4 years ago
- Attentional ShapeContextNet for Point Cloud Recognition☆20Updated 5 years ago
- Implementation of our ECCV 2018 paper "Efficient Semantic Scene Completion Network with Spatial Group Convolution"☆44Updated 6 years ago
- Code for the paper Label-Efficient Learning on Point Clouds usingApproximate Convex Decompositions.☆40Updated 4 years ago
- See and Think: Disentangling Semantic Scene Completion☆49Updated 6 years ago
- Code for NeurIPS 2020 paper "CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations"☆71Updated 2 years ago
- ☆19Updated 4 years ago
- DPDist : Comparing Point Clouds Using Deep Point Cloud Distance (ECCV2020)☆63Updated 3 years ago
- The official implementation of paper: LSANet: Feature Learning on Point Sets by Local Spatial Aware Layer in tensorflow☆29Updated 6 years ago
- CVPR 2020, "FPConv: Learning Local Flattening for Point Convolution"☆131Updated 3 years ago
- PyTorch reimplementation for "KPConv: Flexible and Deformable Convolution for Point Clouds" https://arxiv.org/abs/1904.08889☆69Updated 5 years ago
- Pointwise Rotation-Invariant Network (AAAI 2020)☆88Updated 4 years ago
- Official implementation of the ECCV 2020 Oral Paper "Quaternion Equivariant Capsule Networks for 3D Point Clouds"☆45Updated 3 years ago
- Octree guided cnn with spherical kernels for 3D point clouds☆22Updated 6 years ago
- ☆52Updated 5 years ago
- Geometry Sharing Network for 3D Point Cloud Classification and Segmentation☆51Updated 5 years ago
- Tensorflow/Keras code for the article (Effective Rotation-invariant Point CNN with Spherical Harmonics kernels) :☆34Updated 4 years ago