# JeffWang987/MVSTER

<https://repo.masters-masters.com/en/repos/JeffWang987/MVSTER>

[Home](https://repo.masters-masters.com/en) › [JeffWang987](https://repo.masters-masters.com/en/owners/JeffWang987) › [MVSTER](https://repo.masters-masters.com/en/repos/JeffWang987/MVSTER)

JeffWang987/MVSTER has 200 stars on GitHub. Its RepoMasters card: Prototype tier. \[ECCV 2022\] MVSTER: Epipolar Transformer for Efficient Multi-View Stereo

| Field | Value |
| --- | --- |
| Owner | [JeffWang987](https://repo.masters-masters.com/en/owners/JeffWang987) |
| Stars | 200 |
| Forks | 13 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | depth-estimation, multi-view-stereo, transformer, eccv2022 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [JeffWang987/MVSTER](https://github.com/JeffWang987/MVSTER) |

## Repository

\[ECCV 2022\] MVSTER: Epipolar Transformer for Efficient Multi-View Stereo

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.
