3D U-Net model for volumetric semantic segmentation written in pytorch
🔥PCL（Point Cloud Library）点云库学习记录
🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey
Segment Anything in 3D with NeRFs (NeurIPS 2023 & IJCV 2025)
The official implementation of Segment Any 3D GAussians (AAAI-25)
Brainchop: In-browser 3D MRI rendering and segmentation
RELLIS-3D: A Multi-modal Dataset for Off-Road Robotics
[ICCV2023] Official Implementation of "UniTR: A Unified and Efficient Multi-Modal Transformer for Bird’s-Eye-View Representation"
🔥DM-NeRF in PyTorch (ICLR 2023)
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.
[WACV 2024] Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation
[CVPR 2021] Few-shot 3D Point Cloud Semantic Segmentation
Set of models for segmentation of 3D volumes
点云分割论文2017 Fast segmentation of 3d point clouds: A paradigm on lidar data for autonomous vehicle applications
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.
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.
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
This is the official implementation of RSNet.
[ICLR 2024] AGILE3D: Attention Guided Interactive Multi-object 3D Segmentation
The implementation of 3D-UNet using PyTorch
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