# VinAIResearch/WaveDiff

<https://repo.masters-masters.com/en/repos/VinAIResearch/WaveDiff>

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

VinAIResearch/WaveDiff has 442 stars on GitHub. Its RepoMasters card: Alpha tier. Official Pytorch Implementation of the paper: Wavelet Diffusion Models are…

| Field | Value |
| --- | --- |
| Owner | [VinAIResearch](https://repo.masters-masters.com/en/owners/VinAIResearch) |
| Stars | 442 |
| Forks | 39 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | AGPL-3.0 |
| Created | 2022 |
| Topics | diffusion-models, wavelet-transform |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [VinAIResearch/WaveDiff](https://github.com/VinAIResearch/WaveDiff) |

## Repository

Official Pytorch Implementation of the paper: Wavelet Diffusion Models are fast and scalable Image Generators (CVPR'23)

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

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