# FutureXiang/ddae

<https://repo.masters-masters.com/en/repos/FutureXiang/ddae>

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

FutureXiang/ddae has 188 stars on GitHub. Its RepoMasters card: Prototype tier. \[ICCV 2023 Oral\] Official Implementation of "Denoising Diffusion Autoencoders…

| Field | Value |
| --- | --- |
| Owner | [FutureXiang](https://repo.masters-masters.com/en/owners/FutureXiang) |
| Stars | 188 |
| Forks | 8 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2023 |
| Topics | autoencoders, classification, diffusion, diffusion-models, generative-models, self-supervised-learning |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [FutureXiang/ddae](https://github.com/FutureXiang/ddae) |

## Repository

\[ICCV 2023 Oral\] Official Implementation of "Denoising Diffusion Autoencoders are Unified Self-supervised Learners"

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

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