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.

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330 stars. No commits in the last 6 months.

Archived Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 9 / 25
Community 14 / 25

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Stars

330

Forks

25

Language

Jupyter Notebook

License

MIT

Category

computational-imaging-diffusion

Last pushed

Jul 09, 2024

Commits (30d)

0

GitHub
Computational Imaging Diffusion · 111 models

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