# CrossmodalGroup/DynamicVectorQuantization

<https://repo.masters-masters.com/en/repos/CrossmodalGroup/DynamicVectorQuantization>

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

CrossmodalGroup/DynamicVectorQuantization has 194 stars on GitHub. Its RepoMasters card: Prototype tier. Official Pytorch Implementation of Our CVPR2023…

| Field | Value |
| --- | --- |
| Owner | [CrossmodalGroup](https://repo.masters-masters.com/en/owners/CrossmodalGroup) |
| Stars | 194 |
| Forks | 8 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2023 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [CrossmodalGroup/DynamicVectorQuantization](https://github.com/CrossmodalGroup/DynamicVectorQuantization) |

## Repository

Official Pytorch Implementation of Our CVPR2023 Paper: "Towards Accurate Image Coding: Improved Autoregressive Image Generation with Dynamic Vector Quantization"

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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