MenghaoGuo / PCTLinks
Jittor implementation of PCT:Point Cloud Transformer
☆708Updated 4 years ago
Alternatives and similar repositories for PCT
Users that are interested in PCT are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of PCT: Point Cloud Transformer☆392Updated 3 years ago
- Point Transformers☆716Updated last year
- [CVPR 2022 Oral] Official implementation for "Surface Representation for Point Clouds"☆334Updated 3 years ago
- [CVPR 2023] Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis☆536Updated last year
- Kernel Point Convolutions☆774Updated 4 years ago
- A faster implementation of PointNet++ based on PyTorch.☆515Updated 2 years ago
- Implementation of the Point Transformer layer, in Pytorch☆600Updated 3 years ago
- Kernel Point Convolution implemented in PyTorch☆871Updated last month
- This is an unofficial implementation of the Point Transformer paper.☆619Updated 3 years ago
- [ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP…☆579Updated 10 months ago
- PyTorch implementation of RandLA-Net☆402Updated 4 years ago
- A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)☆789Updated 3 years ago
- pytorch version of PointConv☆298Updated 5 years ago
- [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies☆967Updated 2 years ago
- PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation☆440Updated last year
- CVPR2020 PF-Net: Point Fractal Network for 3D Point Cloud Completion☆364Updated 4 years ago
- Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)☆422Updated 2 years ago
- Code for PCN: Point Completion Network in 3DV'18 (Oral)☆474Updated 2 years ago
- Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)☆427Updated 4 years ago
- [ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers☆793Updated last year
- (CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds☆307Updated last year
- 3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.☆494Updated 3 years ago
- [CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling☆655Updated 8 months ago
- This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).☆844Updated 5 months ago
- 🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)☆1,495Updated 2 years ago
- OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.…☆401Updated last year
- 🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey☆1,627Updated 4 years ago
- [NeurIPS'22] An official PyTorch implementation of PTv2.☆423Updated 2 years ago
- PyTorch implementation of Pointnet2/Pointnet++☆1,745Updated 8 months ago
- [ICCV '21] "Unsupervised Point Cloud Pre-training via Occlusion Completion"☆239Updated last year