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A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)
Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving
Bypass Paywalls web browser extension for Chrome and Firefox.
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
[NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
Official source code of Fast Point Transformer, CVPR 2022
Jittor implementation of PCT:Point Cloud Transformer
This is an unofficial implementation of the Point Transformer paper.
[NeurIPS'22] An official PyTorch implementation of PTv2.
Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)
Python wrapper for some point cloud keypoint detectors of PCL, including ISS, Harris3D, SIFT3D
[CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation
This is the clean implementation of PointNetLK with pretrained models. (A 3D point cloud registration network)
[CVPR 2020 Oral] A differentiable framework for 3D registration
[AAAI2025] UniDet3D: Multi-dataset Indoor 3D Object Detection
alfred-py: A deep learning utility library for **human**, more detail about the usage of lib to: https://zhuanlan.zhihu.com/p/341446046