# svip-lab/Indoor-SfMLearner

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

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

svip-lab/Indoor-SfMLearner has 150 stars on GitHub. Its RepoMasters card: Prototype tier. \[ECCV'20\] Patch-match and Plane-regularization for Unsupervised…

| Field | Value |
| --- | --- |
| Owner | [svip-lab](https://repo.masters-masters.com/en/owners/svip-lab) |
| Stars | 150 |
| Forks | 22 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2020 |
| Topics | pytorch, eccv2020, unsupervised-learning, indoor, depth-estimation, nyuv2, extract-superpixel, scannet, pose-estimation, self-supervised |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [svip-lab/Indoor-SfMLearner](https://github.com/svip-lab/Indoor-SfMLearner) |

## Repository

\[ECCV'20\] Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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