antao97 / dgcnn.pytorch
A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)
☆746Updated 2 years ago
Alternatives and similar repositories for dgcnn.pytorch:
Users that are interested in dgcnn.pytorch are comparing it to the libraries listed below
- Kernel Point Convolution implemented in PyTorch☆822Updated 4 months ago
- Point Transformers☆679Updated last year
- Kernel Point Convolutions☆744Updated 4 years ago
- ☆1,719Updated 2 years ago
- This is an unofficial implementation of the Point Transformer paper.☆566Updated 3 years ago
- Implementation of the Point Transformer layer, in Pytorch☆597Updated 3 years ago
- PyTorch implementation of Pointnet2/Pointnet++☆1,624Updated last month
- Pytorch implementation of PCT: Point Cloud Transformer☆372Updated 3 years ago
- [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies☆868Updated last year
- [ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP…☆531Updated 2 months ago
- [ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers☆688Updated 6 months ago
- PyTorch implementation of RandLA-Net☆373Updated 3 years ago
- pytorch version of PointConv☆283Updated 4 years ago
- A faster implementation of PointNet++ based on PyTorch.☆497Updated 2 years ago
- CVPR2020 PF-Net: Point Fractal Network for 3D Point Cloud Completion☆343Updated 3 years ago
- Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)☆395Updated 2 years ago
- 3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.☆459Updated 2 years ago
- 🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)☆1,392Updated last year
- pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.005…☆2,241Updated 2 years ago
- PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation☆416Updated 9 months ago
- PyTorch implementation of "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593☆264Updated last year
- ☆498Updated 5 years ago
- Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)☆420Updated 3 years ago
- Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud, CVPR 2020.☆567Updated 4 years ago
- Code for paper <PointContrast: Unsupervised Pretraining for 3D Point Cloud Understanding>☆335Updated 3 years ago
- Pytorch framework for doing deep learning on point clouds.☆238Updated 3 years ago
- [NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning☆659Updated 3 years ago
- [NeurIPS'22] An official PyTorch implementation of PTv2.☆381Updated last year
- Code for PCN: Point Completion Network in 3DV'18 (Oral)☆457Updated last year
- OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.…☆343Updated 8 months ago