# svip-lab/PlaneDepth

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

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

svip-lab/PlaneDepth has 107 stars on GitHub. Its RepoMasters card: Prototype tier. \[CVPR2023\] This is an official implementation for "PlaneDepth…

| Field | Value |
| --- | --- |
| Owner | [svip-lab](https://repo.masters-masters.com/en/owners/svip-lab) |
| Stars | 107 |
| Forks | 5 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2023 |
| Topics | cvpr2023, depth-estimation, self-supervised-learning |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [svip-lab/PlaneDepth](https://github.com/svip-lab/PlaneDepth) |

## Repository

\[CVPR2023\] This is an official implementation for "PlaneDepth: Self-supervised Depth Estimation via Orthogonal Planes".

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.
