There are 13 repositories under 3d-segmentation topic.
🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey
3D U-Net model for volumetric semantic segmentation written in pytorch
🔥PCL（Point Cloud Library）点云库学习记录
RELLIS-3D: A Multi-modal Dataset for Off-Road Robotics
[CVPR 2021] Few-shot 3D Point Cloud Semantic Segmentation
This work is based on our paper "DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes", which appeared at the IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 2020.
TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes
The implementation of 3D-UNet using PyTorch
Repository for the paper "Extending Maps with Semantic and Contextual Object Information for Robot Navigation: a Learning-Based Framework using Visual and Depth Cues"
3D augmentation and transforms of 2D/3D sparse data, such as 3D triangle meshes or point clouds in Euclidean space. Extension of the Fast.ai library to train Sub-manifold Sparse Convolution Networks
VNet for 3d volume segmentation
点云分割论文2017 Fast segmentation of 3d point clouds: A paradigm on lidar data for autonomous vehicle applications
Paper list of deep learning on point clouds.
基于Qt实现的图片数据标注工具. Image Annotation Tool Based on Qt, supporting 2D/3D Detection/Segmentation Annotation.
Distributed segmentation for bio-image-analysis
LiDARNet: A Boundary-Aware Domain Adaptation Model for Point Cloud Semantic Segmentation
Utils and convenience functions for large-scale bio-image analysis.
CTSegNet is an end-to-end 3D segmentation package for large X-ray tomographic datasets using 2D fully convolutional neural networks (fCNN).
Volumetric Fusion of Multiple Semantic Labels and Masks
3D medical image semantic segmentation with Pytorch.
This is the official repository of the original Point Transformer architecture.
Graph convolutional networks for mesh segmentation on human and object models.
3D cerebrovascular volume segmentation in Pytorch.
ROS wrapper for yolact instance segmentation with depth image extension for 3D bounding boxes and pointcloud segmentation
Grand Challenge 2017 Multi-Modality Whole Heart Segmentation
[ICPR 2020] PS2-Net: A Locally and Globally Aware Network for Point-Based Semantic Segmentation
Fully supervised, multi-class 3D brain segmentation in T1 MRI, using atlas-based segmentation algorithms (label propagation, tissue models, Expectation-Maximization algorithm).
This package implements deep learning modules for medical imaging application in PyTorch (miTorch).
Image segmentation with Explicit mesh