# vincent-thevenin/Realistic-Neural-Talking-Head-Models

<https://repo.masters-masters.com/en/repos/vincent-thevenin/Realistic-Neural-Talking-Head-Models>

[Home](https://repo.masters-masters.com/en) › [vincent-thevenin](https://repo.masters-masters.com/en/owners/vincent-thevenin) › [Realistic-Neural-Talking-Head-Models](https://repo.masters-masters.com/en/repos/vincent-thevenin/Realistic-Neural-Talking-Head-Models)

vincent-thevenin/Realistic-Neural-Talking-Head-Models has 828 stars on GitHub. Its RepoMasters card: Beta tier. My implementation of Few-Shot Adversarial…

| Field | Value |
| --- | --- |
| Owner | [vincent-thevenin](https://repo.masters-masters.com/en/owners/vincent-thevenin) |
| Stars | 828 |
| Forks | 191 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | GPL-3.0 |
| Created | 2019 |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [vincent-thevenin/Realistic-Neural-Talking-Head-Models](https://github.com/vincent-thevenin/Realistic-Neural-Talking-Head-Models) |

## Repository

My implementation of Few-Shot Adversarial Learning of Realistic Neural Talking Head Models (Egor Zakharov et al.).

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

## Nearby in Python

- [tiangolo/library-skills · ★ 828 · Python · Beta](https://repo.masters-masters.com/en/repos/tiangolo/library-skills)
- [bugkeep/ai-draw · ★ 828 · Python · Beta](https://repo.masters-masters.com/en/repos/bugkeep/ai-draw)
- [TaoLiveAIGC/TaoMate-H3 · ★ 828 · Python · Beta](https://repo.masters-masters.com/en/repos/TaoLiveAIGC/TaoMate-H3)
- [nose-devs/nose2 · ★ 828 · Python · Beta](https://repo.masters-masters.com/en/repos/nose-devs/nose2)
- [kivy/kivy-designer · ★ 828 · Python · Beta](https://repo.masters-masters.com/en/repos/kivy/kivy-designer)
- [miso-belica/jusText · ★ 828 · Python · Beta](https://repo.masters-masters.com/en/repos/miso-belica/jusText)

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