3d-segmentation
There are 95 repositories under 3d-segmentation topic.
wolny/pytorch-3dunet
3D U-Net model for volumetric semantic segmentation written in pytorch
HuangCongQing/pcl-learning
🔥PCL（Point Cloud Library）点云库学习记录
QingyongHu/SoTA-Point-Cloud
🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey
Jumpat/SegmentAnythingin3D
Segment Anything in 3D with NeRFs (NeurIPS 2023)
Jumpat/SegAnyGAussians
The official implementation of SAGA (Segment Any 3D GAussians)
neuroneural/brainchop
Brainchop: In-browser 3D MRI rendering and segmentation
Haiyang-W/UniTR
[ICCV2023] Official Implementation of "UniTR: A Unified and Efficient Multi-Modal Transformer for Bird’s-Eye-View Representation"
unmannedlab/RELLIS-3D
RELLIS-3D: A Multi-modal Dataset for Off-Road Robotics
vLAR-group/DM-NeRF
🔥DM-NeRF in PyTorch (ICLR 2023)
ENHANCE-PET/MOOSE
MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemic TB whole-person research.The pipeline is based on nn-UNet and has the capability to segment 120 unique tissue classes from a whole-body 18F-FDG PET/CT image.
xmindflow/deformableLKA
[WACV 2024] Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation
Na-Z/attMPTI
[CVPR 2021] Few-shot 3D Point Cloud Semantic Segmentation
HuangCongQing/plane_fit_ground_filter
点云分割论文2017 Fast segmentation of 3d point clouds: A paradigm on lidar data for autonomous vehicle applications
ZFTurbo/segmentation_models_3D
Set of models for segmentation of 3D volumes
JonasSchult/dcm-net
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.
qianguih/RSNet
This is the official implementation of RSNet.
Manchery/ImageLabeler
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.
lizhangjie316/Awesome-3D-Point-Cloud-Semantic-Segement
3D点云语义分割汇总，所有顶会论文以及一些arxiv上的最新论文
zyl200846/3D-UNet-PyTorch-Implementation
The implementation of 3D-UNet using PyTorch
ywyue/AGILE3D
[ICLR 2024] AGILE3D: Attention Guided Interactive Multi-object 3D Segmentation
verlab/3DSemanticMapping_JINT_2020
Repository for the paper "Extending Maps with Semantic and Contextual Object Information for Robot Navigation: a Learning-Based Framework using Visual and Depth Cues"
hjwdzh/TextureNet
TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes
UMEssen/SALT
Softmax for Arbitrary Label Trees (SALT) is a framework for training segmentation networks using conditional probabilities to model hierarchical relationships in the data.
florentPoux/point-cloud-processing
A suite of scripts and easy-to-follow tutorial to process point cloud data with Python
faizan1234567/Brain-Tumors-Segmentation
Multimodal Brain mpMRI segmentation on BraTS 2023 and BraTS 2021 datasets.
goodok/fastai_sparse
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
constantinpape/elf
Utils and convenience functions for large-scale bio-image analysis.
Hsuxu/Magic-VNet
VNet for 3d volume segmentation
AliAmini93/MRI-MS-Plaques-Segmentation
A 3D Attention U-Net model is developed, aimed at segmenting and tracking Multiple Sclerosis lesions in MRI images.
dashidhy/awesome-point-cloud-deep-learning
Paper list of deep learning on point clouds.
engelnico/point-transformer
This is the official repository of the original Point Transformer architecture.
HuangCongQing/RandLA-Net-Enhanced
RandLA-Net改进版
constantinpape/cluster_tools
Distributed segmentation for bio-image-analysis
lizhaoliu-Lec/CPCM
This is the official repo for Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation (ICCV 23).
unmannedlab/LiDARNet
LiDARNet: A Boundary-Aware Domain Adaptation Model for Point Cloud Semantic Segmentation