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Point cloud
A point cloud is a set of data points in space. The points represent a 3D shape or object. Each point has its set of X, Y and Z coordinates.
pyntcloud is a Python library for working with 3D point clouds.
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows
Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org
🔥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
Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)
[NeurIPS 2024] PointMamba: A Simple State Space Model for Point Cloud Analysis
🔥3D-BoNet in Tensorflow (NeurIPS 2019, Spotlight)
An OpenCV-based structured light processing toolkit.
Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)
Learning Gradient Fields for Shape Generation
[ECCV 2024] ShapeLLM: Universal 3D Object Understanding for Embodied Interaction
This is a lidar segmentation method based on range image.
C++ library which provides data structures & algorithms for working with 3D point cloud data
[CVPR 2024] Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis
SGAS: Sequential Greedy Architecture Search (CVPR'2020) https://www.deepgcns.org/auto/sgas
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning
[ICML 2023] Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining