s3dis
There are 24 repositories under s3dis topic.
yanx27/Pointnet_Pointnet2_pytorch
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
torch-points3d/torch-points3d
Pytorch framework for doing deep learning on point clouds.
QingyongHu/RandLA-Net
🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)
mit-han-lab/pvcnn
[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning
thangvubk/SoftGroup
[CVPR 2022 Oral] SoftGroup for Instance Segmentation on 3D Point Clouds
filaPro/oneformer3d
[CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation
hancyran/RepSurf
[CVPR 2022 Oral] Official implementation for "Surface Representation for Point Clouds"
SamsungLabs/fcaf3d
[ECCV2022] FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection
drprojects/DeepViewAgg
[CVPR'22 Best Paper Finalist] Official PyTorch implementation of the method presented in "Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation"
Xharlie/Grid-GCN
Grid-GCN for Fast and Scalable Point Cloud Learning
yanx27/GACNet
Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'
SamsungLabs/tr3d
[ICIP2023] TR3D: Towards Real-Time Indoor 3D Object Detection
SamsungLabs/td3d
[WACV'24] TD3D: Top-Down Beats Bottom-Up in 3D Instance Segmentation
lyqun/FPConv
CVPR 2020, "FPConv: Learning Local Flattening for Point Convolution"
HaochengWan/PVT
PVT: Point-Voxel Transformer for 3D Deep Learning
filaPro/unidet3d
UniDet3D: Multi-dataset Indoor 3D Object Detection
nerminsamet/seedal
[ICCV-23] Official implementation of SeedAL for seeding active learning for 3D semantic segmentation
MCG-NJU/CGA-Net
[CVPR 2021] CGA-Net: Category Guided Aggregation for Point Cloud Semantic Segmentation
alitabet/morton-net
PyTorch implementation to train MortonNet and use it to compute point features. MortonNet is trained in a self-supervised fashion, and the features can be used for general tasks like part or semantic segmentation of point clouds.
HuangCongQing/download_3D_dataset
三维点云数据集下载sh脚本(目标检测,语义分割, ...)
CCInc/3d-ml
A versatile framework for 3D machine learning built on Pytorch Lightning and Hydra [looking for contributors!]
moeinp70/Point-Planenet
Point-PlaneNet: Plane kernel based convolutional neural network for point clouds analysis
RauchLukas/Article-PCSS_for_Construction-A_survey
Datahub to the Applied Science Paper: Semantic Point Cloud Segmentation with Deep-Learning-Based Approaches for the Construction Industry: A Survey by Lukas Rauch et al.
genglinliu/KPConv_Pytorch
Forked from HuguesTHOMAS KPConv_Pytorch for a course project