# sjtuplayer/anomalydiffusion

<https://repo.masters-masters.com/en/repos/sjtuplayer/anomalydiffusion>

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

sjtuplayer/anomalydiffusion has 333 stars on GitHub. Its RepoMasters card: Alpha tier. \[AAAI 2024\] AnomalyDiffusion: Few-Shot Anomaly Image Generation with…

| Field | Value |
| --- | --- |
| Owner | [sjtuplayer](https://repo.masters-masters.com/en/owners/sjtuplayer) |
| Stars | 333 |
| Forks | 54 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2023 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [sjtuplayer/anomalydiffusion](https://github.com/sjtuplayer/anomalydiffusion) |

## Repository

\[AAAI 2024\] AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model

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.