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Papers and Datasets about Point Cloud.
Differentiable Point Cloud Sampling (CVPR 2020 Oral)
KISS-Matcher: Fast, Robust, and Scalable Registration for All Point Clouds
This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).
OpenMMLab's next-generation platform for general 3D object detection.
World's first general purpose 3D object detection codebse.
A Simple PointPillars PyTorch Implementation for 3D LiDAR(KITTI) Detection.
Tutorial for using Kitti dataset easily
Fast-BEV: A Fast and Strong Bird’s-Eye View Perception Baseline
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Awesome papers about Multi-Camera 3D Object Detection and Segmentation in Bird's-Eye-View, such as DETR3D, BEVDet, BEVFormer, BEVDepth, UniAD
Extrinsic Calibration of a Odom and 2d Laser
[CVPR 2025] FoundationStereo: Zero-Shot Stereo Matching
Offical PyTorch implementation of "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework"
[CVPR 2024] RCBEVDet: Radar-camera Fusion in Bird’s Eye View for 3D Object Detection
[ECCV 2024] A Simple and Effective 3D DETR in Point Clouds
This is apriltag3 forked from https://github.com/AprilRobotics/apriltag and add target tag used in Kalibr.
Visualizer for neural network, deep learning and machine learning models
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
A resource repository for 3D machine learning
Official PyTorch implementation of FB-BEV & FB-OCC - Forward-backward view transformation for vision-centric autonomous driving perception
DORA (Dataflow-Oriented Robotic Architecture) is middleware designed to streamline and simplify the creation of AI-based robotic applications. It offers low latency, composable, and distributed dat…
RPM-Net: Robust Point Matching using Learned Features (CVPR2020)
