wvangansbeke / Sparse-Depth-Completion

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

Date Created 2019-01-27 (5 years ago)

Commits 27 (last one 2 years ago)

Stargazers 481 (0 this week)

Watchers 17 (0 this week)

Forks 77

License other

Ranking

RepositoryStats indexes 579,238 repositories, of these wvangansbeke/Sparse-Depth-Completion is ranked #92,808 (84th percentile) for total stargazers, and #129,330 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #15,268/115,001.

wvangansbeke/Sparse-Depth-Completion is also tagged with popular topics, for these it's ranked: deep-learning (#2,084/8339), pytorch (#1,394/5908), computer-vision (#666/3052), lidar (#59/288)

Other Information

wvangansbeke/Sparse-Depth-Completion has Github issues enabled, there are 7 open issues and 45 closed issues.

Homepage URL: https://arxiv.org/pdf/1902.05356.pdf

All Topics

kitti lidar pytorch noisy-data deep-learning sensor-fusion computer-vision depth-completion depth-prediction

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1 commits on the default branch (master) since jan '22

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updated: 2024-11-05 @ 02:10pm, id: 167838974 / R_kgDOCgEE_g