# yuliangguo/OmniFusion

<https://repo.masters-masters.com/en/repos/yuliangguo/OmniFusion>

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

yuliangguo/OmniFusion has 107 stars on GitHub. Its RepoMasters card: Prototype tier. \[CVPR 2022 Oral\] Official Pytorch Implementation of "OmniFusion: 360…

| Field | Value |
| --- | --- |
| Owner | [yuliangguo](https://repo.masters-masters.com/en/owners/yuliangguo) |
| Stars | 107 |
| Forks | 17 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2022 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [yuliangguo/OmniFusion](https://github.com/yuliangguo/OmniFusion) |

## Repository

\[CVPR 2022 Oral\] Official Pytorch Implementation of "OmniFusion: 360 Monocular Depth Estimation via Geometry-Aware Fusion"

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.
