MMDetection3D 是一个基于 PyTorch 的目标检测开源工具箱, 下一代面向3D检测的平台. 它是 OpenMMlab 项目的一部分，这个项目由香港中文大学多媒体实验室和商汤科技联合发起.
A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
#计算机科学#PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
#数据仓库#Papers and Datasets about Point Cloud.
#计算机科学#Pytorch framework for doing deep learning on point clouds.
Pointcept: Perceive the world with sparse points, a codebase for point cloud perception research. Latest works: Sonata (CVPR'25 Highlight), PTv3 (CVPR'24 Oral)
[ICLR 2025] From anything to mesh like human artists. Official impl. of "MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers"
#计算机科学#Deep Hough Voting for 3D Object Detection in Point Clouds
PyTorch implementation of Pointnet2/Pointnet++
#计算机科学#Frustum PointNets for 3D Object Detection from RGB-D Data
#计算机科学#World's first general purpose 3D object detection codebse.
#计算机科学#pyntcloud is a Python library for working with 3D point clouds.
#计算机科学#PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
Photogrammetry Guide. Photogrammetry is widely used for Aerial surveying, Agriculture, Architecture, 3D Games, Robotics, Archaeology, Construction, Emergency management, and Medical.
#计算机科学#Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]
#计算机科学#Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org