sparse-to-dense
ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (Torch Implementation)
Train and test models to predict depth from sparse data and images using deep learning techniques.
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sparse-to-dense has 444 stars on GitHub. It has been forked 95 times. sparse-to-dense is written mainly in Lua. It has been in active development since 2017. Its main topics are computer-vision, deep-learning, depth-completion, depth-estimation.
What is sparse-to-dense?
ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (Torch Implementation)
Is sparse-to-dense open source?
sparse-to-dense is an open-source project.
Is sparse-to-dense free?
Yes. sparse-to-dense is free and open source — you can use, modify and self-host it.
What language is sparse-to-dense written in?
sparse-to-dense is written mainly in Lua.
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