# FoundationVision/OmniTokenizer

<https://repo.masters-masters.com/en/repos/FoundationVision/OmniTokenizer>

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

FoundationVision/OmniTokenizer has 333 stars on GitHub. Its RepoMasters card: Alpha tier. \[NeurIPS 2024\]OmniTokenizer: one model and one weight for…

| Field | Value |
| --- | --- |
| Owner | [FoundationVision](https://repo.masters-masters.com/en/owners/FoundationVision) |
| Stars | 333 |
| Forks | 10 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2024 |
| Topics | auto-regressive-model, image-generation, tokenization, vae, video-generation, vqvae |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [FoundationVision/OmniTokenizer](https://github.com/FoundationVision/OmniTokenizer) |

## Repository

\[NeurIPS 2024\]OmniTokenizer: one model and one weight for image-video joint tokenization.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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