guochengqian / openpointsLinks
OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.org/abs/2206.04670)
☆392Updated last year
Alternatives and similar repositories for openpoints
Users that are interested in openpoints are comparing it to the libraries listed below
Sorting:
- [NeurIPS'22] An official PyTorch implementation of PTv2.☆417Updated 2 years ago
- [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies☆948Updated last year
- This is an unofficial implementation of the Point Transformer paper.☆606Updated 3 years ago
- Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)☆423Updated 2 years ago
- [CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling☆646Updated 7 months ago
- Official source code of Fast Point Transformer, CVPR 2022☆293Updated 2 years ago
- [ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers☆768Updated last year
- [ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP…☆568Updated 8 months ago
- (TPAMI2023) Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey☆210Updated 2 years ago
- [ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning☆584Updated 6 months ago
- Pytorch implementation of PCT: Point Cloud Transformer☆391Updated 3 years ago
- Pytorch framework for doing deep learning on point clouds.☆255Updated 3 years ago
- Point Transformers☆709Updated last year
- This is a PyTorch implementation of PointMetaBase proposed by our paper "Meta Architecure for Point Cloud Analysis"☆105Updated 2 years ago
- Implementation of PCN(Point Completion Network) in PyTorch.☆194Updated 2 years ago
- PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation☆437Updated last year
- OctFormer: Octree-based Transformers for 3D Point Clouds [SIGGRAPH 2023]☆332Updated 4 months ago
- [CVPR 2023] Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis☆530Updated last year
- [CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation☆540Updated last year
- Official pytorch implementation of "Self-positioning Point-based Transformer for Point Cloud Understanding" (CVPR 2023).☆111Updated 7 months ago
- Official repository for paper "Attention-based Point Cloud Edge Sampling" (APES), Highlight@CVPR 2023☆126Updated 7 months ago
- ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution (CVPR 2023)☆146Updated 11 months ago
- 🔥GrowSP in PyTorch (CVPR 2023)☆189Updated 2 months ago
- Contrastive Boundary Learning for Point Cloud Segmentation (CVPR2022)☆162Updated 2 years ago
- Code for the paper "PointAttN: You Only Need Attention for Point Cloud Completion"☆126Updated last year
- ☆96Updated 3 years ago
- Official PyTorch implementation of DeLA☆60Updated 2 months ago
- (CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds☆305Updated last year
- Kernel Point Convolution implemented in PyTorch☆859Updated last week
- Official implementation of "Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation"☆83Updated last year