A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!
β1,591Apr 10, 2024Updated 2 years ago
Alternatives and similar repositories for awesome-point-cloud-analysis-2023
Users that are interested in awesome-point-cloud-analysis-2023 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A list of papers and datasets about point cloud analysis (processing)β4,221May 19, 2023Updated 3 years ago
- π₯[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Surveyβ1,631Jun 8, 2021Updated 5 years ago
- Papers and Datasets about Point Cloud.β2,928Aug 30, 2024Updated last year
- Pytorch framework for doing deep learning on point clouds.β2,702May 25, 2026Updated last month
- Kernel Point Convolution implemented in PyTorchβ892Oct 17, 2025Updated 8 months ago
- Deploy on Railway without the complexity - Free Credits Offer β’ AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.β4,905Apr 24, 2024Updated 2 years ago
- OpenPCDet Toolbox for LiDAR-based 3D Object Detection.β5,642Oct 8, 2025Updated 9 months ago
- A Closer Look at Local Aggregation Operators in Point Cloud Analysis(ECCV 2020)β259Dec 16, 2020Updated 5 years ago
- β1,841May 20, 2022Updated 4 years ago
- Kernel Point Convolutionsβ783Feb 23, 2021Updated 5 years ago
- π₯RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)β1,555Jul 11, 2023Updated 2 years ago
- Point Transformersβ729Jun 13, 2026Updated 3 weeks ago
- PyTorch implementation of Pointnet2/Pointnet++β1,803May 18, 2026Updated last month
- Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)β425Sep 30, 2021Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI β’ AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling οΌCVPR 2020οΌβ268Oct 15, 2021Updated 4 years ago
- Pointcept: Perceive the world with sparse points, a codebase for point cloud perception research. Latest works: Utonia (ICML'26), Concertβ¦β3,102May 21, 2026Updated last month
- [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategiesβ1,053Updated this week
- [ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolutionβ620Jul 11, 2024Updated last year
- Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensorsβ2,938Mar 5, 2024Updated 2 years ago
- A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)β812Oct 29, 2022Updated 3 years ago
- [ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLPβ¦β597Feb 2, 2025Updated last year
- Paperlist of awesome 3D detection methodsβ399Feb 21, 2022Updated 4 years ago
- Implementation of the Point Transformer layer, in Pytorchβ601Feb 12, 2022Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient β’ AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)β955Apr 5, 2023Updated 3 years ago
- Differentiable Point Cloud Sampling (CVPR 2020 Oral)β392Jun 25, 2023Updated 3 years ago
- Grid-GCN for Fast and Scalable Point Cloud Learningβ185Mar 19, 2020Updated 6 years ago
- pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.005β¦β2,353Mar 23, 2023Updated 3 years ago
- Code for paper <PointContrast: Unsupervised Pretraining for 3D Point Cloud Understanding>β348Aug 30, 2021Updated 4 years ago
- This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).β858Updated this week
- PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Spaceβ3,679Aug 26, 2022Updated 3 years ago
- Deep Hough Voting for 3D Object Detection in Point Cloudsβ1,761Jan 30, 2022Updated 4 years ago
- [MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.β1,467Feb 24, 2025Updated last year
- Managed Database hosting by DigitalOcean β’ AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- OpenMMLab's next-generation platform for general 3D object detection.β6,472Jul 10, 2024Updated last year
- [NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learningβ677Apr 12, 2022Updated 4 years ago
- Jittor implementation of PCT:Point Cloud Transformerβ719Jun 2, 2021Updated 5 years ago
- This is an unofficial implementation of the Point Transformer paper.β633Apr 19, 2022Updated 4 years ago
- Spatial Sparse Convolution Libraryβ2,284Dec 15, 2024Updated last year
- A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).β958Dec 5, 2023Updated 2 years ago
- [CVPR 2022 Oral] Official implementation for "Surface Representation for Point Clouds"β337Jun 6, 2026Updated last month