| anhttran/3dmm_cnn |
771 |
|
0 |
0 |
over 5 years ago |
0 |
|
8 |
other |
C++ |
| Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network |
| ZhaofanQiu/pseudo-3d-residual-networks |
329 |
|
0 |
0 |
over 7 years ago |
0 |
|
22 |
mit |
C++ |
| Pseudo-3D Convolutional Residual Networks for Video Representation Learning |
| chanyn/3Dpose_ssl |
294 |
|
0 |
0 |
about 6 years ago |
0 |
|
6 |
|
C++ |
| 3D Human Pose Machines with Self-supervised Learning |
| IBBM/Cascaded-FCN |
283 |
|
0 |
0 |
over 8 years ago |
0 |
|
7 |
other |
Jupyter Notebook |
| Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields" |
| ShownX/FacePaperCollection |
237 |
|
0 |
0 |
about 7 years ago |
0 |
|
0 |
|
|
| A collection of face related papers |
| XinArkh/VNect |
180 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| Real-time 3D human pose estimation, implemented by tensorflow |
| lmb-freiburg/ogn |
122 |
|
0 |
0 |
about 6 years ago |
0 |
|
2 |
other |
C++ |
| Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs |
| yulequan/HeartSeg |
69 |
|
0 |
0 |
over 8 years ago |
0 |
|
4 |
|
Matlab |
| code of DenseVoxNet and 3D-DSN |
| phoenixnn/Amodal3Det |
63 |
|
0 |
0 |
over 8 years ago |
0 |
|
17 |
gpl-3.0 |
Jupyter Notebook |
| tbuikr/3D_DenseSeg |
32 |
|
0 |
0 |
over 6 years ago |
0 |
|
2 |
|
Python |
| The implementation of 3D_DenseSeg for infant brain MRI segmentation |
