antao97 / dgcnn.pytorchLinks
A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)
☆789Updated 3 years ago
Alternatives and similar repositories for dgcnn.pytorch
Users that are interested in dgcnn.pytorch are comparing it to the libraries listed below
Sorting:
- Point Transformers☆714Updated last year
- Pytorch implementation of PCT: Point Cloud Transformer☆391Updated 3 years ago
- Kernel Point Convolution implemented in PyTorch☆864Updated 3 weeks ago
- This is an unofficial implementation of the Point Transformer paper.☆613Updated 3 years ago
- [ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP…☆573Updated 9 months ago
- ☆1,785Updated 3 years ago
- Implementation of the Point Transformer layer, in Pytorch☆600Updated 3 years ago
- [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies☆957Updated last year
- Kernel Point Convolutions☆772Updated 4 years ago
- [ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers☆782Updated last year
- 3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.☆493Updated 3 years ago
- PyTorch implementation of Pointnet2/Pointnet++☆1,724Updated 7 months ago
- CVPR2020 PF-Net: Point Fractal Network for 3D Point Cloud Completion☆363Updated 4 years ago
- PyTorch implementation of RandLA-Net☆402Updated 4 years ago
- Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)☆424Updated 2 years ago
- pytorch version of PointConv☆297Updated 4 years ago
- PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation☆439Updated last year
- [NeurIPS'22] An official PyTorch implementation of PTv2.☆422Updated 2 years ago
- A faster implementation of PointNet++ based on PyTorch.☆515Updated 2 years ago
- Code for PCN: Point Completion Network in 3DV'18 (Oral)☆471Updated 2 years ago
- [CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling☆653Updated 7 months ago
- Implementation of PCN(Point Completion Network) in PyTorch.☆197Updated 2 years ago
- This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).☆841Updated 4 months ago
- Pytorch framework for doing deep learning on point clouds.☆257Updated 3 years ago
- 🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)☆1,490Updated 2 years ago
- OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.…☆398Updated last year
- Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)☆427Updated 4 years ago
- (CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds☆306Updated last year
- Morphing and Sampling Network for Dense Point Cloud Completion (AAAI2020)☆438Updated 3 years ago
- Jittor implementation of PCT:Point Cloud Transformer☆705Updated 4 years ago