A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!
☆1,585Apr 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)☆4,228May 19, 2023Updated 3 years ago
- 🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey☆1,638Jun 8, 2021Updated 5 years ago
- Papers and Datasets about Point Cloud.☆2,942Aug 30, 2024Updated 2 years ago
- Pytorch framework for doing deep learning on point clouds.☆2,718Updated this week
- Kernel Point Convolution implemented in PyTorch☆897Oct 17, 2025Updated last year
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.☆4,966Apr 24, 2024Updated 2 years ago
- OpenPCDet Toolbox for LiDAR-based 3D Object Detection.☆5,737Oct 8, 2025Updated last year
- A Closer Look at Local Aggregation Operators in Point Cloud Analysis(ECCV 2020)☆259Dec 16, 2020Updated 5 years ago
- ☆1,851May 20, 2022Updated 4 years ago
- Kernel Point Convolutions☆789Feb 23, 2021Updated 5 years ago
- 🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)☆1,563Jul 11, 2023Updated 3 years ago
- Point Transformers☆728Jun 13, 2026Updated 4 months ago
- PyTorch implementation of Pointnet2/Pointnet++☆1,812May 18, 2026Updated 4 months ago
- PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）☆267Oct 15, 2021Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)☆423Sep 30, 2021Updated 5 years ago
- [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies☆1,084Jul 6, 2026Updated 3 months ago
- [ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution☆622Jul 11, 2024Updated 2 years ago
- Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors☆2,967Mar 5, 2024Updated 2 years ago
- A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)☆811Oct 29, 2022Updated 3 years ago
- Pointcept: Perceive the world with sparse points, a codebase for point cloud perception research. Latest works: Utonia (ICML'26), Concert…☆3,261Sep 11, 2026Updated last month
- [ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP…☆599Feb 2, 2025Updated last year
- Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)☆958Apr 5, 2023Updated 3 years ago
- Paperlist of awesome 3D detection methods☆399Feb 21, 2022Updated 4 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Implementation of the Point Transformer layer, in Pytorch☆600Feb 12, 2022Updated 4 years ago
- Differentiable Point Cloud Sampling (CVPR 2020 Oral)☆390Jun 25, 2023Updated 3 years ago
- Grid-GCN for Fast and Scalable Point Cloud Learning☆185Mar 19, 2020Updated 6 years ago
- pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.005…☆2,362Mar 23, 2023Updated 3 years ago
- Code for paper <PointContrast: Unsupervised Pretraining for 3D Point Cloud Understanding>☆351Aug 30, 2021Updated 5 years ago
- This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).☆857Jul 3, 2026Updated 3 months ago
- PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space☆3,714Aug 26, 2022Updated 4 years ago
- Deep Hough Voting for 3D Object Detection in Point Clouds☆1,762Jan 30, 2022Updated 4 years ago
- [MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.☆1,474Feb 24, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- OpenMMLab's next-generation platform for general 3D object detection.☆6,556Jul 10, 2024Updated 2 years ago
- [NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning☆678Apr 12, 2022Updated 4 years ago
- Jittor implementation of PCT:Point Cloud Transformer☆722Jun 2, 2021Updated 5 years ago
- This is an unofficial implementation of the Point Transformer paper.☆639Apr 19, 2022Updated 4 years ago
- Spatial Sparse Convolution Library☆2,302Dec 15, 2024Updated last year
- A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).☆956Dec 5, 2023Updated 2 years ago
- [CVPR 2022 Oral] Official implementation for "Surface Representation for Point Clouds"☆336Jun 6, 2026Updated 4 months ago