NUAAXQ / awesome-point-cloud-analysis-2023Links
A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!
β1,581Updated last year
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
Sorting:
- π₯[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Surveyβ1,623Updated 4 years ago
- Papers and Datasets about Point Cloud.β2,837Updated last year
- π₯RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)β1,490Updated 2 years ago
- PyTorch implementation of Pointnet2/Pointnet++β1,726Updated 7 months ago
- A list of papers and datasets about point cloud analysis (processing)β4,186Updated 2 years ago
- Kernel Point Convolution implemented in PyTorchβ865Updated last month
- This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).β844Updated 4 months ago
- pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.005β¦β2,320Updated 2 years ago
- Pytorch framework for doing deep learning on point clouds.β2,663Updated last week
- Kernel Point Convolutionsβ772Updated 4 years ago
- Point Transformersβ716Updated last year
- [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategiesβ961Updated last year
- A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)β789Updated 3 years ago
- PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Spaceβ3,549Updated 3 years ago
- β1,786Updated 3 years ago
- This is an unofficial implementation of the Point Transformer paper.β617Updated 3 years ago
- PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)β1,427Updated 4 years ago
- PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.β1,802Updated 3 years ago
- Pointcept: Perceive the world with sparse points, a codebase for point cloud perception research. Latest works: Concerto (NeurIPS'25), Soβ¦β2,641Updated 3 weeks ago
- A faster implementation of PointNet++ based on PyTorch.β515Updated 2 years ago
- [ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformersβ782Updated last year
- Deep Hough Voting for 3D Object Detection in Point Cloudsβ1,741Updated 3 years ago
- Large-scale Point Cloud Semantic Segmentation with Superpoint Graphsβ792Updated 2 years ago
- SemanticKITTI API for visualizing dataset, processing data, and evaluating results.β871Updated 7 months ago
- 3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.β493Updated 3 years ago
- Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)β923Updated 2 years ago
- PyTorch implementation of RandLA-Netβ402Updated 4 years ago
- PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.β4,550Updated last year
- A curated list of point cloud registration.β917Updated last year
- Pytorch implementation of PCT: Point Cloud Transformerβ392Updated 3 years ago