3d-segmentation

There are 16 repositories under 3d-segmentation topic.

wolny / pytorch-3dunet
3D U-Net model for volumetric semantic segmentation written in pytorch
semantic-segmentation unet unet-pytorch 3d-unet groupnorm pytorch-3dunet pytorch dice-coefficient volumetric-data 3d-segmentation residual-unet
Language:Jupyter Notebook 2251
HuangCongQing / pcl-learning
🔥PCL（Point Cloud Library）点云库学习记录
3d-detection 3d-reconstruction 3d-representation 3d-segmentation pcl pcl-library pcl-viewer ros self-driving-car
Language:C++ 1731
QingyongHu / SoTA-Point-Cloud
🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey
pointclouds 3d-deep-learning 3d-classification 3d-detection 3d-tracking 3d-segmentation semantic-segmentation instance-segmentation
1617
Jumpat / SegmentAnythingin3D
Segment Anything in 3D with NeRFs (NeurIPS 2023 & IJCV 2025)
3d 3d-segmentation computer-vision nerf segment-anything segmentation deep-learning
Language:Python 968
Jumpat / SegAnyGAussians
The official implementation of Segment Any 3D GAussians (AAAI-25)
3d-segmentation computer-vision gaussian-splatting segment-anything
Language:Jupyter Notebook 802
brainchop
neuroneural / brainchop
Brainchop: In-browser 3D MRI rendering and segmentation
3d-segmentation deep-learning frontend-app javascript medical-imaging mri mri-segmentation neuroimaging pyodide tensorflowjs three-js
Language:JavaScript 458
Haiyang-W / UniTR
[ICCV2023] Official Implementation of "UniTR: A Unified and Efficient Multi-Modal Transformer for Bird’s-Eye-View Representation"
3d 3d-object-detection 3d-segmentation backbone bev camera computer-vision iccv2023 lidar multi-modal multi-view point-cloud transformer unified
Language:Python 313
unmannedlab / RELLIS-3D
RELLIS-3D: A Multi-modal Dataset for Off-Road Robotics
3d-segmentation dataset image-segmentation lidar off-road ros-bag semantic-segmentation
Language:Jupyter Notebook 310
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.
3d-segmentation bone-segmentation brain-segmentation ct-segmentation fat-segmentation muscle-segmentation nnunet organ-segmentation pet-ct psoas-segmentation tb-pet total-body-segmentation
Language:Python 267
vLAR-group / DM-NeRF
🔥DM-NeRF in PyTorch (ICLR 2023)
3d 3d-computer-vision 3d-editor 3d-reconstruction 3d-segmentation deep-learning iclr2023 nerfs
Language:Python 256
xmindflow / deformableLKA
[WACV 2024] Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation
2d-segmentation 3d-segmentation deep-learning pancreas segmentation skin-lesion-segmentation synapse transformers
Language:Python 215
Na-Z / attMPTI
[CVPR 2021] Few-shot 3D Point Cloud Semantic Segmentation
pytorch point-cloud few-shot-learning 3d-segmentation 3d
Language:Python 171
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
segmentation 3d-segmentation ground-segmentation cloud-point pcl ros-melodic
Language:C++ 130
ZFTurbo / segmentation_models_3D
Set of models for segmentation of 3D volumes
3d-segmentation 3d-semantic-segmentation keras segmentation
Language:Python 129
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.
dcm-net 3d-deep-learning deep-learning semantic-segmentation 3d-segmentation scannet cvpr2020 cvpr
Language:Python 127
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.
qt labelme image-annotation-tool segmentation detection 3d-segmentation 3d-detection
Language:C++ 121
qianguih / RSNet
This is the official implementation of RSNet.
rsnet point-cloud 3d-segmentation
Language:Python 118
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
3d-point-cloud 3d-segmentation scale-point-clouds point-cloud-analysis 3d-shape
117
ywyue / AGILE3D
[ICLR 2024] AGILE3D: Attention Guided Interactive Multi-object 3D Segmentation
3d-point-clouds attention interactive-segmentation click-as-query 3d-scene-understanding 3d-annotation 3d-labelling 3d-segmentation
Language:Python 109
zyl200846 / 3D-UNet-PyTorch-Implementation
The implementation of 3D-UNet using PyTorch
unet pytorch pytorch-implementation volumetric-data cross-validation 3d-unet semantic-segmentation 3d-segmentation
Language:Python 101
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"
semantic-mapping robot-navigation computer-vision rgb-d object-detection instance-segmentation yolo 3d-segmentation
Language:Python 98
hjwdzh / TextureNet
TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes
texturenet 3d-deep-learning 3d-convolutional-network deep-neural-networks semantic-segmentation 3d-segmentation scannet cvpr2019
Language:C++ 96
florentPoux / point-cloud-processing
A suite of scripts and easy-to-follow tutorial to process point cloud data with Python
3d 3d-deep-learning 3d-models 3d-reconstruction 3d-segmentation mesh point-cloud
Language:Jupyter Notebook 79
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.
3d-segmentation conditional-probabilities hierarchical-labels medical-image-segmentation
Language:Python 78
LidiaGarrucho / MAMA-MIA
The MAMA-MIA Dataset: A Multi-Center Breast Cancer DCE-MRI Public Dataset with Expert Segmentations
3d-segmentation benchmark-dataset breast-cancer breast-cancer-dataset cancer-imaging-research dce-mri deep-learning foundation-models medical-imaging mri-images mri-segmentation nnunet-v2 pretrained-models pretrained-weights public-dataset radiomics tumor-classification tumor-segmentation
Language:Jupyter Notebook 74
faizan1234567 / Brain-Tumors-Segmentation
Multimodal Brain mpMRI segmentation on BraTS 2023 and BraTS 2021 datasets.
deep-learning brain-tumor-segmentation brats2020 medical-imaging 3d-segmentation computer-vision machine-learning medical-image-processing brats17 brats18 brats16 segmentation brats23 btcv organs segmentation-models synapse
Language:Python 73
syau-miao / seg4maize
pointcloud phenotyping phenomics plant-phenomics 3d-segmentation point-cloud-segmentation plant-segmentation
Language:MATLAB 71
constantinpape / elf
Utils and convenience functions for large-scale bio-image analysis.
segmentation 3d-segmentation image-analysis bio-image-analysis multicut lifted-multicut mutex-watershed affine-transformation microscopy-images
Language:Python 54
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
3d 3d-augmentation 3d-segmentation 3d-sparse-data 3d-transformation data-augmentation mesh point-clound python sparseconvnet
Language:Jupyter Notebook 50
Hsuxu / Magic-VNet
VNet for 3d volume segmentation
3d-segmentation medical-image-processing mri-images pytorch pytorch-implementation
Language:Python 44
lizhaoliu-Lec / CPCM
This is the official repo for Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation (ICCV 23).
3d-segmentation augmentation consistency-regularization context-model data-efficient-learning point-cloud pytorch-implementation segmentation semi-supervised-learning sparse-annotations weakly-supervised-learning weakly-supervised-segmentation
Language:Python 43
engelnico / point-transformer
This is the official repository of the original Point Transformer architecture.
3d-point-cloud 3d-pointclouds 3d-classification pytorch deep-learning transformer-architecture 3d-segmentation classification segmentation modelnet-dataset modelnet modelnet40 shapenet-dataset shapenetpart transformer attention-mechanism multi-head-attention sortnet
Language:Python 41
AliAmini93 / MRI-MS-Plaques-Segmentation
A 3D Attention U-Net model is developed, aimed at segmenting and tracking Multiple Sclerosis lesions in MRI images.
3d-segmentation u-net mri attention-gate longitudinal-analysis multiple-sclerosis
Language:Jupyter Notebook 39
dashidhy / awesome-point-cloud-deep-learning
Paper list of deep learning on point clouds.
point-cloud paper-list 3d-vision 3d-deep-learning 3d-detection 3d-segmentation
39
HuangCongQing / RandLA-Net-Enhanced
RandLA-Net改进版
randla-net python 3d-segmentation
Language:Python 38
constantinpape / cluster_tools
Distributed segmentation for bio-image-analysis
segmentation watershed connectomics bio-image-analysis multicut mutex-watershed lifted-multicut cluster-computing 3d-segmentation microscopy-images
Language:Python 37

3d-segmentation

wolny / pytorch-3dunet

HuangCongQing / pcl-learning

QingyongHu / SoTA-Point-Cloud

Jumpat / SegmentAnythingin3D

Jumpat / SegAnyGAussians

neuroneural / brainchop

Haiyang-W / UniTR

unmannedlab / RELLIS-3D

ENHANCE-PET / MOOSE

vLAR-group / DM-NeRF

xmindflow / deformableLKA

Na-Z / attMPTI

HuangCongQing / plane_fit_ground_filter

ZFTurbo / segmentation_models_3D

JonasSchult / dcm-net

Manchery / ImageLabeler

qianguih / RSNet

lizhangjie316 / Awesome-3D-Point-Cloud-Semantic-Segement

ywyue / AGILE3D

zyl200846 / 3D-UNet-PyTorch-Implementation

verlab / 3DSemanticMapping_JINT_2020

hjwdzh / TextureNet

florentPoux / point-cloud-processing

UMEssen / SALT

LidiaGarrucho / MAMA-MIA

faizan1234567 / Brain-Tumors-Segmentation

syau-miao / seg4maize

constantinpape / elf

goodok / fastai_sparse

Hsuxu / Magic-VNet

lizhaoliu-Lec / CPCM

engelnico / point-transformer

AliAmini93 / MRI-MS-Plaques-Segmentation

dashidhy / awesome-point-cloud-deep-learning

HuangCongQing / RandLA-Net-Enhanced

constantinpape / cluster_tools