OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [ASSANet](https://arxiv.org/abs/2110.10538), [PointNeXt](https://arxiv.org/abs/2206.04670)
☆410Aug 4, 2024Updated last year
Alternatives and similar repositories for openpoints
Users that are interested in openpoints are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies☆1,010Dec 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…☆589Feb 2, 2025Updated last year
- Pointcept: Perceive the world with sparse points, a codebase for point cloud perception research. Latest works: Utonia, Concerto (NeurIPS…☆2,893Mar 4, 2026Updated 3 weeks ago
- Official pytorch implementation of "Self-positioning Point-based Transformer for Point Cloud Understanding" (CVPR 2023).☆114Mar 27, 2025Updated last year
- Official implementation for [3DV 2024] `Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding`☆48Jun 26, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- [NeurIPS'22] An official PyTorch implementation of PTv2.☆432Jun 4, 2023Updated 2 years ago
- This is a PyTorch implementation of PointMetaBase proposed by our paper "Meta Architecure for Point Cloud Analysis"☆109Mar 14, 2023Updated 3 years ago
- [CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling☆674Mar 22, 2025Updated last year
- PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.☆4,780Apr 24, 2024Updated last year
- [CVPR 2023] Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis☆539Apr 9, 2024Updated last year
- [ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning☆620Mar 31, 2025Updated 11 months ago
- [NeurIPS 2022 Spotlight] P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting☆131Jul 26, 2023Updated 2 years ago
- [NeurIPS 2023] PointGPT: Auto-regressively Generative Pre-training from Point Clouds☆244Jul 1, 2024Updated last year
- Pytorch framework for doing deep learning on point clouds.☆2,695Mar 16, 2026Updated last week
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- This is an unofficial implementation of the Point Transformer paper.☆632Apr 19, 2022Updated 3 years ago
- A more easy-to-use implementation of KPConv☆81Jun 6, 2022Updated 3 years ago
- [CVPR'24 Oral] Official repository of Point Transformer V3 (PTv3)☆1,731Oct 24, 2025Updated 5 months ago
- [CVPR 2023] Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders☆230Aug 10, 2023Updated 2 years ago
- Kernel Point Convolution implemented in PyTorch☆878Oct 17, 2025Updated 5 months ago
- Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)☆430Jan 7, 2023Updated 3 years ago
- ☆45Dec 29, 2022Updated 3 years ago
- Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Tra…☆973Feb 24, 2026Updated last month
- [ECCV 2022] Official pytorch implementation of the paper, "PointMixer: MLP-Mixer for Point Cloud Understanding"☆111Oct 25, 2023Updated 2 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- (CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds☆305Dec 25, 2023Updated 2 years ago
- [CVPR 2022 Oral] Official implementation for "Surface Representation for Point Clouds"☆337Nov 2, 2022Updated 3 years ago
- Contrastive Boundary Learning for Point Cloud Segmentation (CVPR2022)☆162Oct 10, 2023Updated 2 years ago
- Adaptive Graph Convolution for Point Cloud Analysis☆125Oct 28, 2021Updated 4 years ago
- PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation☆446Jul 25, 2024Updated last year
- Advanced Feature Learning on Point Clouds using Multi-resolution Features and Learnable Pooling☆16May 26, 2022Updated 3 years ago
- Official implementation of the paper "Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space"☆37Jun 1, 2023Updated 2 years ago
- Papers and Datasets about Point Cloud.☆2,899Aug 30, 2024Updated last year
- DepthContrast self-supervised learning for 3D☆275Aug 30, 2021Updated 4 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing, CVPR2019.☆212Jan 17, 2020Updated 6 years ago
- ☆1,820May 20, 2022Updated 3 years ago
- [CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation☆593Oct 23, 2024Updated last year
- [ICML 2023] Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining☆154Jul 21, 2024Updated last year
- The code and dataset will be available soon here☆62Dec 19, 2022Updated 3 years ago
- PyTorch implementation of Pointnet2/Pointnet++☆1,779Mar 21, 2025Updated last year
- Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.☆718Oct 29, 2023Updated 2 years ago