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 (6 years ago)

Commits 27 (last one 2 years ago)

Stargazers 494 (0 this week)

Watchers 16 (0 this week)

Forks 78

License other

Ranking

RepositoryStats indexes 643,432 repositories, of these wvangansbeke/Sparse-Depth-Completion is ranked #96,880 (85th percentile) for total stargazers, and #135,063 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #16,503/132,390.

wvangansbeke/Sparse-Depth-Completion is also tagged with popular topics, for these it's ranked: deep-learning (#2,128/8901), pytorch (#1,433/6268), computer-vision (#696/3325), lidar (#62/325)

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: 2025-04-24 @ 04:24pm, id: 167838974 / R_kgDOCgEE_g