# google/diffseg

<https://repo.masters-masters.com/en/repos/google/diffseg>

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

google/diffseg has 328 stars on GitHub. Its RepoMasters card: Alpha tier. DiffSeg is an unsupervised zero-shot segmentation method using attention information…

| Field | Value |
| --- | --- |
| Owner | [google](https://repo.masters-masters.com/en/owners/google) |
| Stars | 328 |
| Forks | 27 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2023 |
| Topics | computer-vision, segmentation, stable-diffusion |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [google/diffseg](https://github.com/google/diffseg) |

## Repository

DiffSeg is an unsupervised zero-shot segmentation method using attention information from a stable-diffusion model. This repo implements the main DiffSeg algorithm and additionally includes an experimental feature to add semantic labels to the masks based on a generated caption.

Archived: this repository is read-only

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.