# wvangansbeke/Sparse-Depth-Completion

<https://repo.masters-masters.com/en/repos/wvangansbeke/Sparse-Depth-Completion>

[Home](https://repo.masters-masters.com/en) › [wvangansbeke](https://repo.masters-masters.com/en/owners/wvangansbeke) › [Sparse-Depth-Completion](https://repo.masters-masters.com/en/repos/wvangansbeke/Sparse-Depth-Completion)

wvangansbeke/Sparse-Depth-Completion has 510 stars on GitHub. Its RepoMasters card: Alpha tier. Predict dense depth maps from sparse and noisy LiDAR frames…

| Field | Value |
| --- | --- |
| Owner | [wvangansbeke](https://repo.masters-masters.com/en/owners/wvangansbeke) |
| Stars | 510 |
| Forks | 77 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2019 |
| Topics | depth-completion, depth-prediction, lidar, sensor-fusion, computer-vision, deep-learning, pytorch, noisy-data, kitti |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [wvangansbeke/Sparse-Depth-Completion](https://github.com/wvangansbeke/Sparse-Depth-Completion) |

## Repository

Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) \[MVA 2019\]

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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