| fangchangma/self-supervised-depth-completion |
418 |
|
0 |
0 |
over 5 years ago |
0 |
|
25 |
mit |
Python |
| ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera" |
| wvangansbeke/Sparse-Depth-Completion |
372 |
|
0 |
0 |
about 4 years ago |
0 |
|
1 |
other |
Python |
| Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) |
| alexklwong/awesome-state-of-depth-completion |
282 |
|
0 |
0 |
almost 3 years ago |
0 |
|
0 |
|
|
| Current state of supervised and unsupervised depth completion methods |
| angeladai/ScanComplete |
199 |
|
0 |
0 |
over 5 years ago |
0 |
|
8 |
apache-2.0 |
Python |
| [CVPR'18] ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans |
| alexklwong/unsupervised-depth-completion-visual-inertial-odometry |
168 |
|
0 |
0 |
almost 3 years ago |
0 |
|
0 |
other |
Python |
| Tensorflow implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020) |
| angeladai/sgnn |
127 |
|
0 |
0 |
almost 5 years ago |
0 |
|
3 |
other |
C++ |
| [CVPR'20] SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans |
| ChrisWu1997/Multimodal-Shape-Completion |
73 |
|
0 |
0 |
almost 4 years ago |
0 |
|
2 |
mit |
Python |
| code for our ECCV 2020 spotlight paper "Multimodal Shape Completion via Conditional Generative Adversarial Networks" |
| alexklwong/void-dataset |
49 |
|
0 |
0 |
about 4 years ago |
0 |
|
0 |
other |
Shell |
| Visual Odometry with Inertial and Depth (VOID) dataset |
| choyingw/CFCNet |
25 |
|
0 |
0 |
about 5 years ago |
0 |
|
4 |
mit |
Python |
| CFCNet for depth completion, NeurIPS 2019. |
| Pranshu258/Image_Completion |
20 |
|
0 |
0 |
about 7 years ago |
0 |
|
0 |
gpl-3.0 |
Python |
| Image Completion is the task of filling missing parts of a given image with the help of information from the known parts of the image. This is an application that takes an image with a missing part as input and gives a completed image as the result. |
