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awesome-state-of-depth-completion
Current state of supervised and unsupervised depth completion methods
https://github.com/alexklwong/awesome-state-of-depth-completion
Last synced: 3 days ago
JSON representation
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About Sparse-to-Dense Depth Completion <a name="about-sparse-to-dense-depth-completion"></a>
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Current State of Depth Completion Methods <a name="current-state-of-depth-completion"></a>
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Supervised KITTI Depth Completion Benchmark <a name="supervised-kitti-benchmark"></a>
- CVPR 2019 - Depth-Posterior) | 203.96 | 832.94 | 0.85 | 2.10 |
- ICCV 2019
- PAMI 2019 - eldesokey/nconv) | 233.26 | 829.98 | 1.03 | 2.60 |
- AAAI 2022
- CVPR 2023 - zym/CompletionFormer) |203.45 | **708.87** | 0.88 | 2.01 |
- IEEE Access 2022
- ECCV 2022
- RAL 2023
- AAAI 2020
- TIP 2021 - zhao/ACMNet) | 206.80 | 732.99 | 0.90 | 2.08 |
- ICRA 2021 - Keyanjie/MDANet_ICRA2021) | 214.99 | 738.23 | 0.99 | 2.12 |
- BMVC 2022
- AAAI 2021
- TIP 2020
- ICRA 2021
- MVA 2019 - Depth-Completion) | 215.02 | 772.87 | 0.93 | 2.19 |
- ICCV 2019
- CVPR 2019
- CVPR 2020 - eldesokey/pncnn) | 251.77 | 960.05 | 1.05 | 3.37 |
- 3DV 2019
- CVPR 2019
- ECCV 2018
- ACIVS 2019
- 3DV 2017
- ACCV 2018 - LiDAR) | 439.48 | 1325.37 | 3.19 | 59.39 |
- ICRA 2019 - supervised-depth-completion) | 249.95 | 814.73 | 1.21 | 2.80 |
- WACV 2020
- ICRA 2021 - Keyanjie/MDANet_ICRA2021) | 214.99 | 738.23 | 0.99 | 2.12 |
- 3DV 2017
- ICRA 2021 - Keyanjie/MDANet_ICRA2021) | 214.99 | 738.23 | 0.99 | 2.12 |
- ICRA 2021 - Keyanjie/MDANet_ICRA2021) | 214.99 | 738.23 | 0.99 | 2.12 |
- ICRA 2021 - Keyanjie/MDANet_ICRA2021) | 214.99 | 738.23 | 0.99 | 2.12 |
- ICRA 2021 - Keyanjie/MDANet_ICRA2021) | 214.99 | 738.23 | 0.99 | 2.12 |
- ICRA 2021 - Keyanjie/MDANet_ICRA2021) | 214.99 | 738.23 | 0.99 | 2.12 |
- ICRA 2021 - Keyanjie/MDANet_ICRA2021) | 214.99 | 738.23 | 0.99 | 2.12 |
- ICRA 2021 - Keyanjie/MDANet_ICRA2021) | 214.99 | 738.23 | 0.99 | 2.12 |
- ICRA 2021 - Keyanjie/MDANet_ICRA2021) | 214.99 | 738.23 | 0.99 | 2.12 |
- ICRA 2021
- ICRA 2021 - Keyanjie/MDANet_ICRA2021) | 214.99 | 738.23 | 0.99 | 2.12 |
- RA-L & IROS 2021
- ECCV 2020
- ECCV 2022 - python) | 218.60 | 785.06 | 0.92 | 2.11 |
- AAAI 2020
- MVA 2019 - Depth-Completion) | 215.02 | 772.87 | 0.93 | 2.19 |
- PAMI 2019 - eldesokey/nconv) | 233.26 | 829.98 | 1.03 | 2.60 |
- 3DV 2019
- CVPR 2019
- ACCV 2018 - LiDAR) | 439.48 | 1325.37 | 3.19 | 59.39 |
- ICRA 2019 - supervised-depth-completion) | 249.95 | 814.73 | 1.21 | 2.80 |
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Supervised VOID Depth Completion Benchmark <a name="supervised-void-benchmark"></a>
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Unsupervised KITTI Depth Completion Benchmark <a name="unsupervised-kitti-benchmark"></a>
- ACCV 2020 - adapt) | 280.42 | 1095.26 | 1.19 | 3.53 |
- RA-L & ICRA 2021 - Learning_DepthCompletion) | 298.3 | 1239.84 | 1.21 | 3.76 |
- ITSC 2019
- CRV 2018
- GCPR 2016
- ICCV 2021 - backprojection-network) | **256.76** | **1069.47** | **1.02** | **2.95** |
- RA-L & ICRA 2021 - topology-synthetic-data) | 280.76 | 1121.93 | 1.15 | 3.30 |
- CRV 2018
- GCPR 2016
- RA-L & ICRA 2020 - depth-completion-visual-inertial-odometry) | 299.41 | 1169.97 | 1.20 | 3.56 |
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Categories
Sub Categories
Keywords
3d-reconstruction
2
3d-vision
2
computer-vision
2
depth-completion
2
machine-learning
2
dataset
1
icra
1
ral
1
sparse-to-dense
1
backprojection
1
calibration
1
deep-learning
1
depth-estimation
1
iccv
1
iccv2021
1
kitti
1
kitti-dataset
1
pytorch
1
self-supervised-learning
1
sensor-fusion
1
ucla
1
unsupervised-learning
1
void
1
void-dataset
1