# fangchangma/sparse-to-dense.pytorch

<https://repo.masters-masters.com/en/repos/fangchangma/sparse-to-dense.pytorch>

[Home](https://repo.masters-masters.com/en) › [fangchangma](https://repo.masters-masters.com/en/owners/fangchangma) › [sparse-to-dense.pytorch](https://repo.masters-masters.com/en/repos/fangchangma/sparse-to-dense.pytorch)

fangchangma/sparse-to-dense.pytorch has 450 stars on GitHub. Its RepoMasters card: Alpha tier. ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth…

| Field | Value |
| --- | --- |
| Owner | [fangchangma](https://repo.masters-masters.com/en/owners/fangchangma) |
| Stars | 450 |
| Forks | 98 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2018 |
| Topics | depth-prediction, depth-estimation, depth-image, slam, pytorch, sparse-depth-samples, deep-learning, depth-completion |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [fangchangma/sparse-to-dense.pytorch](https://github.com/fangchangma/sparse-to-dense.pytorch) |

## Repository

ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (PyTorch Implementation)

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

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- [fangchangma/self-supervised-depth-completion · ★ 654 · Python · Alpha](https://repo.masters-masters.com/en/repos/fangchangma/self-supervised-depth-completion)
- [fangchangma/sparse-to-dense · ★ 447 · Lua · Alpha](https://repo.masters-masters.com/en/repos/fangchangma/sparse-to-dense)

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