# svip-lab/FastMVSNet

<https://repo.masters-masters.com/en/repos/svip-lab/FastMVSNet>

[Home](https://repo.masters-masters.com/en) › [svip-lab](https://repo.masters-masters.com/en/owners/svip-lab) › [FastMVSNet](https://repo.masters-masters.com/en/repos/svip-lab/FastMVSNet)

svip-lab/FastMVSNet has 259 stars on GitHub. Its RepoMasters card: Alpha tier. \[CVPR'20\] Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned…

| Field | Value |
| --- | --- |
| Owner | [svip-lab](https://repo.masters-masters.com/en/owners/svip-lab) |
| Stars | 259 |
| Forks | 35 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2020 |
| Topics | pytorch, cvpr2020, multi-view-stereo |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [svip-lab/FastMVSNet](https://github.com/svip-lab/FastMVSNet) |

## Repository

\[CVPR'20\] Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation and Gauss-Newton Refinement

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

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.