# xie-lab-ml/Zigzag-Diffusion-Sampling

<https://repo.masters-masters.com/en/repos/xie-lab-ml/Zigzag-Diffusion-Sampling>

[Home](https://repo.masters-masters.com/en) › [xie-lab-ml](https://repo.masters-masters.com/en/owners/xie-lab-ml) › [Zigzag-Diffusion-Sampling](https://repo.masters-masters.com/en/repos/xie-lab-ml/Zigzag-Diffusion-Sampling)

xie-lab-ml/Zigzag-Diffusion-Sampling has 104 stars on GitHub. Its RepoMasters card: Prototype tier. \[ICLR2025\] The code of Z-Sampling, proposed in our paper…

| Field | Value |
| --- | --- |
| Owner | [xie-lab-ml](https://repo.masters-masters.com/en/owners/xie-lab-ml) |
| Stars | 104 |
| Forks | 4 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2024 |
| Topics | aigc, diffusion-models, sampling-methods |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [xie-lab-ml/Zigzag-Diffusion-Sampling](https://github.com/xie-lab-ml/Zigzag-Diffusion-Sampling) |

## Repository

\[ICLR2025\] The code of Z-Sampling, proposed in our paper "Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection".

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

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