Methods › Computer Vision › Image Generation Models › Blended Diffusion
Blended Diffusion
Introduced by Omri Avrahami et al. in Blended Diffusion for Text-driven Editing of Natural Images
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Blended Diffusion enables a zero-shot local text-guided image editing of natural images. Given an input image x, an input mask m and a target guiding text t - the method enables to change the masked area within the image corresponding the the guiding text s.t. the unmasked area is left unchanged.
Papers archive 2025-07-28
3 shown of 3, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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High-Resolution Image Editing via Multi-Stage Blended Diffusion 24 Oct 2022 · 1 repository · arXiv:2210.12965Syntology ran 8 of 12 samples · 4 unverified
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Blended Latent Diffusion 6 Jun 2022 · 1 repository · arXiv:2206.02779Syntology ran 9 of 13 samples · 4 unverified · 1 pointer-only (licence)
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Blended Diffusion for Text-driven Editing of Natural Images 29 Nov 2021 · 1 repository · arXiv:2111.14818Syntology ran 14 of 22 samples · 8 unverified · 1 pointer-only (licence)
Tasks archive 2025-07-28
8 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections