There are 1 repository under 3d-point-clouds topic.
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org
Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)
An OpenCV-based structured light processing toolkit.
SGAS: Sequential Greedy Architecture Search (CVPR'2020) https://www.deepgcns.org/auto/sgas
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review
🔥3D点云目标检测&语义分割-SOTA方法,代码,论文,数据集等
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)
Source code for: Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds), accepted at ACCV 2018
Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)
[CVPR 2020] Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds
C++ library which provides data structures & algorithms for working with 3D point cloud data
This is a lidar segmentation method based on range image.
PyTorch reimplementation for "KPConv: Flexible and Deformable Convolution for Point Clouds" https://arxiv.org/abs/1904.08889
The research project based on Semantic KITTTI dataset, 3d Point Cloud Segmentation , Obstacle Detection
This project is the official implementation of our accepted ICLR 2021 paper BiPointNet: Binary Neural Network for Point Clouds.
A paper list of 3D Point Cloud Denoising
B-SHOT : A Binary Feature Descriptor for Fast and Efficient Keypoint Matching on 3D Point Clouds
A list of papers on 3D vision & learning
快速3D点云分割论文代码(带注解):Fast segmentation of 3d point clouds for ground vehicles
New distributional and shape attacks on neural networks that process 3D point cloud data.
Bayesian Deep Learning and Deep Reinforcement Learning for Object Shape Error Response and Correction of Manufacturing Systems
Research on adversarial attacks and defenses for deep neural network 3D point cloud classifiers like PointNet and PointNet++.
The official implementation of the "Hypernetwork approach to generating point clouds" paper
The official implementation of the "HyperPocket: Generative Point Cloud Completion" paper in PyTorch
Multiscale 3D Convolutional Network
DBScan algorithm implemented using Octrees to cluster 3D points in a space.
Master MVA, ENS Cachan, France: 3D Point Cloud Processing. Implementation of the research article "Segmentation Based Classification of 3D Urban Point Clouds". Very large data processing techniques using kdtree (scikit-learn API), feature computations on 3D points cloud. (Python, Scikit-Learrn))
Optical Flow and Deep Learning Use Cases
CVPR 2021 papers focusing on point cloud analysis
The official implementation of the "Modeling 3D Surface Manifolds with a Locally Conditioned Atlas" paper