kuixu / 3d Deep Learning
Licence: mit
3D Deep Learning works
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3d-deep-learning
3D Deep Learning works
Tasks
3D Representation
Spherical CNNs
- Taco S. Cohen, Spherical CNNs, ICLR 2018 Best paper [paper]
- Learning SO(3) Equivariant Representations with Spherical CNNs [paper] [code]
- Deep Learning Advances on Different 3D Data Representations: A Survey [paper]
3D Classification
Datasets
Networks
- 3D CNN
- 3D-DenseNet
- Voxnet: A 3d convolutional neural network for real-time object recognition, IROS 2015. [code] [paper]
- [3D-NIN, network in network]
- VRN Ensemble, Generative and discriminative voxel modeling with convolutional neural networks, arxiv [paper] [code]
- Voxception-Resnet Blocks
- 2D CNN - MVCNN, Learned-Miller.Multi- view convolutional neural networks for 3d shape recognition, ICCV2015 [project] [code] [paper][data] [video]
- Point
- Graph/tree-based
- Kd-Net, scape from cells: Deep kd- networks for the recognition of 3d point cloud models, arxiv2017 [paper]
- kd-tree
- Octnet: Learning deep 3d representations at high resolutions, CVPR2017
- octree
- O-cnn: Octree-based convolutional neural networks for 3d shape analysis, TOG2017
- octree
- SO-Net: Self-Organizing Network for Point Cloud Analysis, CVPR2018 [paper] [code]
- point-to-node kNN search Self-Organizing Map (SOM)
- KCNet, Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling, CVPR2018 [project] [code] [paper][data] [video]
- Kernel Correlation
- Graph Pooling
- Kd-Net, scape from cells: Deep kd- networks for the recognition of 3d point cloud models, arxiv2017 [paper]
3D Segmentation
Datasets
Networks
- HeartSeg, 3D-FC-Densenet, Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets - MICCAI 2017 - [code]
- 3D-Unet [paper]
- ClusterNet: 3D Instance Segmentation in RGB-D Images [paper]
- PointNet [project][paper][code][video][slides]
- PointNet++ [paper] [code]
- KCNet, Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling, CVPR2018 [project] [code] [paper][data] [video]
- SO-Net: Self-Organizing Network for Point Cloud Analysis, CVPR2018 [paper] [code]
- 3D Shape Segmentation with Projective Convolutional Networks. CVPR2017.
Project
Poster
Presentation
- nnU-Net: Breaking the Spell on Successful Medical Image Segmentation [paper] [code]
3D Object Detection
Datasets
Data types: RGBD, Flow, Laser
Networks
- MV3D, Multi-View 3D Object Detection Network for Autonomous Driving [paper] [code]
- Avod, Joint 3D Proposal Generation and Object Detection from View Aggregation [paper] [code]
- F-PointNet, Frustum PointNets for 3D Object Detection from RGB-D Data [paper] [code]
- VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection [paper]
- PIXOR: Real-time 3D Object Detection from Point Clouds - CVPR 2018 - [paper] [code]
- 3D Object Proposals using Stereo Imagery for Accurate Object Class Detection [paper]
- 3D Bounding Box Estimation Using Deep Learning and Geometry [paper] [code]
- Learning 3D Object Orientations From Synthetic Images
3D Reconstruction & Generation
Datasets
Data types: RGBD, Flow, Laser
- ShapeNet
Networks
- SO-Net: Self-Organizing Network for Point Cloud Analysis, CVPR2018 [paper] [code]
- 3D-GAN [paper] [code]
- Generating 3D Adversarial Point Clouds [paper]
3D Human Pose Estimation
Datasets
Data types: RGBD, Flow, Laser
- ShapeNet
Networks
- Synthetic Occlusion Data Augmentation -2018 ECCV PoseTrack Challenge - [paper] [code]
- Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised Approach - ICCV 2017 - [paper] [code] [code-pytorch
- 3D human pose estimation from depth maps using a deep combination of poses [paper]
CVPR2016 Tutorial: 3D Deep Learning with Marvin
- CVPR2016 Tutorial: 3D Deep Learning with Marvin
- 3D Shape Retrieval
- C3D, website
- [Video Caffe(C3D)] [code]
- [DeepMedic, Brain Lesion Segmentation] [[code(https://github.com/Kamnitsask/deepmedic)]
- 3D Keypoint Detection and Feature Description
Codes and libs for 3D
DL on Medical Image
More 3D Papers
see [ 3D-Machine-Learning]
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