guochengqian / openpointsView external linksLinks
OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.org/abs/2206.04670)
☆407Aug 4, 2024Updated 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] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies☆998Dec 1, 2023Updated 2 years ago
- [ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP…☆586Feb 2, 2025Updated last year
- Pointcept: Perceive the world with sparse points, a codebase for point cloud perception research. Latest works: Concerto (NeurIPS'25), So…☆2,826Feb 4, 2026Updated last week
- Official implementation for [3DV 2024] `Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding`☆48Jun 26, 2024Updated last year
- [CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling☆671Mar 22, 2025Updated 10 months ago
- [NeurIPS 2022 Spotlight] P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting☆132Jul 26, 2023Updated 2 years ago
- [NeurIPS'22] An official PyTorch implementation of PTv2.☆430Jun 4, 2023Updated 2 years ago
- This is a PyTorch implementation of PointMetaBase proposed by our paper "Meta Architecure for Point Cloud Analysis"☆110Mar 14, 2023Updated 2 years ago
- [ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning☆616Mar 31, 2025Updated 10 months ago
- [CVPR 2023] Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders☆226Aug 10, 2023Updated 2 years ago
- Pytorch framework for doing deep learning on point clouds.☆2,690Jan 19, 2026Updated 3 weeks ago
- PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.☆4,721Apr 24, 2024Updated last year
- [NeurIPS 2023] PointGPT: Auto-regressively Generative Pre-training from Point Clouds☆242Jul 1, 2024Updated last year
- Official pytorch implementation of "Self-positioning Point-based Transformer for Point Cloud Understanding" (CVPR 2023).☆114Mar 27, 2025Updated 10 months ago
- [CVPR 2023] Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis☆538Apr 9, 2024Updated last year
- This is an unofficial implementation of the Point Transformer paper.☆624Apr 19, 2022Updated 3 years ago
- Kernel Point Convolution implemented in PyTorch☆874Oct 17, 2025Updated 3 months ago
- PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation☆443Jul 25, 2024Updated last year
- [ICML 2023] Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining☆153Jul 21, 2024Updated last year
- Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)☆427Jan 7, 2023Updated 3 years ago
- [CVPR'24 Oral] Official repository of Point Transformer V3 (PTv3)☆1,676Oct 24, 2025Updated 3 months ago
- A more easy-to-use implementation of KPConv☆82Jun 6, 2022Updated 3 years ago
- [CVPR 2022 Oral] Official implementation for "Surface Representation for Point Clouds"☆336Nov 2, 2022Updated 3 years ago
- (CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds☆305Dec 25, 2023Updated 2 years ago
- Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Tra…☆950Updated this week
- Contrastive Boundary Learning for Point Cloud Segmentation (CVPR2022)☆162Oct 10, 2023Updated 2 years ago
- [ECCV 2022] Official pytorch implementation of the paper, "PointMixer: MLP-Mixer for Point Cloud Understanding"☆111Oct 25, 2023Updated 2 years ago
- Papers and Datasets about Point Cloud.☆2,885Aug 30, 2024Updated last year
- A Closer Look at Local Aggregation Operators in Point Cloud Analysis(ECCV 2020)☆259Dec 16, 2020Updated 5 years ago
- Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.☆709Oct 29, 2023Updated 2 years ago
- [ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?☆103Jul 1, 2024Updated last year
- Differentiable Point Cloud Sampling (CVPR 2020 Oral)☆393Jun 25, 2023Updated 2 years ago
- 🔥Urban-scale point cloud dataset (CVPR 2021 & IJCV 2022)☆569Jul 22, 2022Updated 3 years ago
- ☆1,818May 20, 2022Updated 3 years ago
- [CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation☆584Oct 23, 2024Updated last year
- DepthContrast self-supervised learning for 3D☆274Aug 30, 2021Updated 4 years ago
- Kernel Point Convolutions☆775Feb 23, 2021Updated 4 years ago
- A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)☆799Oct 29, 2022Updated 3 years ago
- ☆45Dec 29, 2022Updated 3 years ago