# radekd91/emoca

<https://repo.masters-masters.com/en/repos/radekd91/emoca>

[Home](https://repo.masters-masters.com/en) › [radekd91](https://repo.masters-masters.com/en/owners/radekd91) › [emoca](https://repo.masters-masters.com/en/repos/radekd91/emoca)

radekd91/emoca has 862 stars on GitHub. Its RepoMasters card: Beta tier. Official repository accompanying a CVPR 2022 paper EMOCA: Emotion Driven Monocular…

| Field | Value |
| --- | --- |
| Owner | [radekd91](https://repo.masters-masters.com/en/owners/radekd91) |
| Stars | 862 |
| Forks | 105 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2022 |
| Topics | computer-vision, face-reconstruction, emotion-recognition, cvpr, pytorch, pytorch-lightning, deep-learning, 3d-reconstruction, 3d-graphics, 3d-vision |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [radekd91/emoca](https://github.com/radekd91/emoca) |

## Repository

Official repository accompanying a CVPR 2022 paper EMOCA: Emotion Driven Monocular Face Capture And Animation. EMOCA takes a single image of a face as input and produces a 3D reconstruction. EMOCA sets the new standard on reconstructing highly emotional images in-the-wild

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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