# AIoT-MLSys-Lab/Efficient-Diffusion-Model-Survey

<https://repo.masters-masters.com/en/repos/AIoT-MLSys-Lab/Efficient-Diffusion-Model-Survey>

[Home](https://repo.masters-masters.com/en) › [AIoT-MLSys-Lab](https://repo.masters-masters.com/en/owners/AIoT-MLSys-Lab) › [Efficient-Diffusion-Model-Survey](https://repo.masters-masters.com/en/repos/AIoT-MLSys-Lab/Efficient-Diffusion-Model-Survey)

AIoT-MLSys-Lab/Efficient-Diffusion-Model-Survey has 187 stars on GitHub. Its RepoMasters card: Prototype tier. \[TMLR 2025\] Efficient Diffusion Models: A Survey

| Field | Value |
| --- | --- |
| Owner | [AIoT-MLSys-Lab](https://repo.masters-masters.com/en/owners/AIoT-MLSys-Lab) |
| Stars | 187 |
| Forks | 6 |
| Language | No language |
| License | None |
| Created | 2024 |
| Topics | diffusion-models, efficient-deep-learning, generative-ai, machine-learning-systems, survey |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [AIoT-MLSys-Lab/Efficient-Diffusion-Model-Survey](https://github.com/AIoT-MLSys-Lab/Efficient-Diffusion-Model-Survey) |

## Repository

\[TMLR 2025\] Efficient Diffusion Models: A Survey

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

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