3d-segmentation topic
TextureNet
TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes
3D-UNet-PyTorch-Implementation
The implementation of 3D-UNet using PyTorch
brainchop
Brainchop: In-browser 3D MRI rendering and segmentation
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
Pytorch-3D-Medical-Image-Semantic-Segmentation
3D medical image semantic segmentation with Pytorch.
awesome-point-cloud-deep-learning
Paper list of deep learning on point clouds.
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
GCN3DSegment
Graph convolutional networks for mesh segmentation on human and object models.
point-transformer
This is the official repository of the original Point Transformer architecture.
elf
Utils and convenience functions for large-scale bio-image analysis.