Segment Anything in 3D with NeRFs (NeurIPS 2023 & IJCV 2025)
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Updated
May 19, 2025 - Python
Segment Anything in 3D with NeRFs (NeurIPS 2023 & IJCV 2025)
[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
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.
This is the official implementation of RSNet.
[ICLR 2024] AGILE3D: Attention Guided Interactive Multi-object 3D Segmentation
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"
Multimodal Brain mpMRI segmentation on BraTS 2023 and BraTS 2021 datasets.
Softmax for Arbitrary Label Trees (SALT) is a framework for training segmentation networks using conditional probabilities to model hierarchical relationships in the data.
Utils and convenience functions for large-scale bio-image analysis.
This is the official repo for Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation (ICCV 23).
VNet for 3d volume segmentation
This is the official repository of the original Point Transformer architecture.
Distributed segmentation for bio-image-analysis
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