| isl-org/Open3D-ML |
2,221 |
|
0 |
0 |
3 months ago |
0 |
|
104 |
other |
Python |
| An extension of Open3D to address 3D Machine Learning tasks |
| TUI-NICR/ESANet |
206 |
|
0 |
0 |
over 2 years ago |
0 |
|
32 |
other |
Python |
| ESANet: Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis |
| yanx27/3DGNN_pytorch |
142 |
|
0 |
0 |
about 7 years ago |
0 |
|
14 |
mit |
Python |
| 3D Graph Neural Networks for RGBD Semantic Segmentation |
| lvzhaoyang/DeeperInverseCompositionalAlgorithm |
107 |
|
0 |
0 |
about 6 years ago |
0 |
|
1 |
mit |
Python |
| Taking a Deeper Look at the Inverse Compositional Algorithm (CVPR 2019, Oral) |
| lartpang/HDFNet |
79 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
mit |
Python |
| (ECCV 2020) Hierarchical Dynamic Filtering Network for RGB-D Salient Object Detection |
| charlesCXK/PyTorch_Semantic_Segmentation |
73 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
mit |
Python |
| Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN |
| TUI-NICR/EMSANet |
42 |
|
0 |
0 |
over 2 years ago |
0 |
|
12 |
apache-2.0 |
Python |
| EMSANet: Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments |
| VCL3D/StructureNet |
36 |
|
0 |
0 |
about 4 years ago |
0 |
|
0 |
|
Python |
| Markerless volumetric alignment for depth sensors. Contains the code of the work "Deep Soft Procrustes for Markerless Volumetric Sensor Alignment" (IEEE VR 2020). |
| svip-lab/RGBD-Counting |
32 |
|
0 |
0 |
almost 4 years ago |
0 |
|
7 |
mit |
Python |
| RGBD crowd counting |
| princeton-computational-imaging/SoaP |
31 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Official code repository for the paper: "Shakes on a Plane: Unsupervised Depth Estimation from Unstabilized Photography" |
