3d-segmentation

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)

[MICCAI 2019 Young Scientist Award] [MedIA Best Paper Award] Models Genesis: self-supervised pre-training for 3D medical images. Learns transferable representations from unlabeled CT and MRI volumes, then fine-tunes for downstream segmentation and classification. Keras and PyTorch weights included.

Brainchop: In-browser 3D MRI rendering and segmentation

RELLIS-3D: A Multi-modal Dataset for Off-Road Robotics

[ICLR 2024 oral; top 1.2%] Supervised Pre-Trained 3D Models for Medical Image Analysis (9,262 CT volumes + 25 annotated classes)

[ICCV2023] Official Implementation of "UniTR: A Unified and Efficient Multi-Modal Transformer for Bird’s-Eye-View Representation"

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

🔥DM-NeRF in PyTorch (ICLR 2023)

[CVPR 2021] Few-shot 3D Point Cloud Semantic Segmentation

[SIGGRAPH 2026 Journal] SegviGen: Repurposing 3D Generative Model for Part Segmentation

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.

[ICCV 2025] InstaScene: Towards Complete 3D Instance Decomposition and Reconstruction from Cluttered Scenes

Set of models for segmentation of 3D volumes

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