Sparse-Depth-Completion
Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) [MVA 2019]
Generate detailed depth maps from sparse LiDAR data using RGB images for better accuracy in visual tasks.
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Free · no card · unsubscribe anytimePredict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) [MVA 2019]
Sparse-Depth-Completion has 512 stars on GitHub. It has been forked 77 times. Sparse-Depth-Completion is written mainly in Python. It has been in active development since 2019. Its main topics are computer-vision, deep-learning, depth-completion, depth-prediction.
What is Sparse-Depth-Completion?
Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) [MVA 2019]
Is Sparse-Depth-Completion open source?
Sparse-Depth-Completion is an open-source project.
Is Sparse-Depth-Completion free?
Yes. Sparse-Depth-Completion is free and open source — you can use, modify and self-host it.
What language is Sparse-Depth-Completion written in?
Sparse-Depth-Completion is written mainly in Python.
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