HuguesTHOMAS / KPConv-PyTorchLinks
Kernel Point Convolution implemented in PyTorch
☆874Updated 3 months ago
Alternatives and similar repositories for KPConv-PyTorch
Users that are interested in KPConv-PyTorch are comparing it to the libraries listed below
Sorting:
- Kernel Point Convolutions☆777Updated 4 years ago
- PyTorch implementation of RandLA-Net☆410Updated 4 years ago
- This is an unofficial implementation of the Point Transformer paper.☆623Updated 3 years ago
- Point Transformers☆722Updated last year
- A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)☆798Updated 3 years ago
- PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation☆445Updated last year
- Pytorch implementation of PCT: Point Cloud Transformer☆395Updated 4 years ago
- This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).☆850Updated 7 months ago
- Implementation of the Point Transformer layer, in Pytorch☆601Updated 3 years ago
- [ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers☆810Updated last month
- A faster implementation of PointNet++ based on PyTorch.☆515Updated 2 years ago
- 🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)☆1,506Updated 2 years ago
- pytorch version of PointConv☆298Updated 5 years ago
- Pytorch framework for doing deep learning on point clouds.☆263Updated 4 years ago
- [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies☆993Updated 2 years ago
- Code for PCN: Point Completion Network in 3DV'18 (Oral)☆476Updated 2 years ago
- Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)☆427Updated 3 years ago
- CVPR2020 PF-Net: Point Fractal Network for 3D Point Cloud Completion☆367Updated 4 years ago
- Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs☆796Updated 2 years ago
- [ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP…☆586Updated last year
- [NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning☆677Updated 3 years ago
- [NeurIPS'22] An official PyTorch implementation of PTv2.☆429Updated 2 years ago
- RandLA-Net's implementation with Pytorch☆140Updated 5 years ago
- Differentiable Point Cloud Sampling (CVPR 2020 Oral)☆393Updated 2 years ago
- OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.…☆408Updated last year
- 3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.☆505Updated 3 years ago
- Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)☆427Updated 4 years ago
- [ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution☆618Updated last year
- A PyTorch Implementation of Pointnet++.☆118Updated 5 years ago
- Morphing and Sampling Network for Dense Point Cloud Completion (AAAI2020)☆442Updated 3 years ago