There are 7 repositories 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
Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)
🔥3D点云目标检测&语义分割(深度学习)-SOTA方法,代码,论文,数据集等
An OpenCV-based structured light processing toolkit.
PointMamba: A Simple State Space Model for Point Cloud Analysis
Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)
This is a lidar segmentation method based on range image.
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review
C++ library which provides data structures & algorithms for working with 3D point cloud data
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
[CVPR 2020] Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds
A paper list of 3D Point Cloud Denoising
ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution (CVPR 2023)
[ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?
This project is the official implementation of our accepted ICLR 2021 paper BiPointNet: Binary Neural Network for Point Clouds.
快速3D点云分割论文代码(带注解):Fast segmentation of 3d point clouds for ground vehicles
The research project based on Semantic KITTTI dataset, 3d Point Cloud Segmentation , Obstacle Detection
PyTorch reimplementation for "KPConv: Flexible and Deformable Convolution for Point Clouds" https://arxiv.org/abs/1904.08889
B-SHOT : A Binary Feature Descriptor for Fast and Efficient Keypoint Matching on 3D Point Clouds
Bayesian Deep Learning and Deep Reinforcement Learning for Object Shape Error Response and Correction of Manufacturing Systems
New distributional and shape attacks on neural networks that process 3D point cloud data.
[IROS 2023] Open-Vocabulary Affordance Detection in 3d Point Clouds
Optical Flow and Deep Learning Use Cases
The official implementation of the "Hypernetwork approach to generating point clouds" paper