google / diffseg

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.

Date Created 2023-11-22 (6 months ago)

Commits 14 (last one 5 months ago)

Stargazers 222 (0 this week)

Watchers 6 (0 this week)

Forks 15

License mit

Ranking

RepositoryStats indexes 523,840 repositories, of these google/diffseg is ranked #154,239 (71st percentile) for total stargazers, and #282,917 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #3,367/14,471.

google/diffseg is also tagged with popular topics, for these it's ranked: computer-vision (#1,039/2768), stable-diffusion (#291/769), segmentation (#211/566)

Other Information

google/diffseg has 1 open pull request on Github, 2 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there is 1 open issue and 1 closed issue.

Homepage URL: https://sites.google.com/corp/view/diffseg

All Topics

segmentation computer-vision stable-diffusion

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14 commits on the default branch (main) since jan '22

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The primary language is Jupyter Notebook but there's also others...

updated: 2024-05-26 @ 05:13am, id: 722241736 / R_kgDOKwyIyA