# ethanhe42/epipolar-transformers

<https://repo.masters-masters.com/en/repos/ethanhe42/epipolar-transformers>

[Home](https://repo.masters-masters.com/en) › [ethanhe42](https://repo.masters-masters.com/en/owners/ethanhe42) › [epipolar-transformers](https://repo.masters-masters.com/en/repos/ethanhe42/epipolar-transformers)

ethanhe42/epipolar-transformers has 427 stars on GitHub. Its RepoMasters card: Alpha tier. Epipolar Transformers (best paper award, CVPR 2020 workshop)

| Field | Value |
| --- | --- |
| Owner | [ethanhe42](https://repo.masters-masters.com/en/owners/ethanhe42) |
| Stars | 427 |
| Forks | 38 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2020 |
| Topics | 3d, pose-estimation, 3dposeestimation, pytorch, deep-learning |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [ethanhe42/epipolar-transformers](https://github.com/ethanhe42/epipolar-transformers) |

## Repository

Epipolar Transformers (best paper award, CVPR 2020 workshop)

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.