# soubhiksanyal/RingNet

<https://repo.masters-masters.com/en/repos/soubhiksanyal/RingNet>

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

soubhiksanyal/RingNet has 887 stars on GitHub. Its RepoMasters card: Beta tier. Learning to Regress 3D Face Shape and Expression from an Image without 3D…

| Field | Value |
| --- | --- |
| Owner | [soubhiksanyal](https://repo.masters-masters.com/en/owners/soubhiksanyal) |
| Stars | 887 |
| Forks | 172 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2019 |
| Topics | 3d-mesh, flame, flame-model, morphable-model, 3d-landmarks, face-reconstruction, tensorflow, 3d-models, triplet-loss, python |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [soubhiksanyal/RingNet](https://github.com/soubhiksanyal/RingNet) |

## Repository

Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision

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.