{"url":"/method/blended-diffusion","slug":"blended-diffusion","name":"Blended Diffusion","full_name":"Blended Diffusion","full_name_withheld":false,"description_markdown":"Blended Diffusion enables a zero-shot local text-guided image editing of natural images.\r\nGiven 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.","description_state":"present","introduced_year":null,"introduced_by":{"title":"Blended Diffusion for Text-driven Editing of Natural Images","paper":"/paper/blended-diffusion-for-text-driven-editing-of","first_author":"Omri Avrahami","n_authors":3,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/blended-diffusion-for-text-driven-editing-of"},"source":{"url":"https://arxiv.org/abs/2111.14818v2","title":"Blended Diffusion for Text-driven Editing of Natural Images","url_on_a_paper_host":true},"code_snippet_url":"https://github.com/omriav/blended-diffusion","code_snippet_url_on_a_code_host":true,"categories":[{"area":"Computer Vision","area_id":"computer-vision","collection":"Image Generation Models","url":"/methods/category/image-generation-models","pwc_aliases":[]}],"n_papers_tagged":3,"archive_num_papers":3,"papers_newest_first":[{"paper":"/paper/high-resolution-image-editing-via-multi-stage","title":"High-Resolution Image Editing via Multi-Stage Blended Diffusion","date":"2022-10-24","arxiv_id":"2210.12965","n_code_links":1,"syntology":{"ran":8,"of":12,"unverified":4,"pointer_only":0}},{"paper":"/paper/blended-latent-diffusion","title":"Blended Latent Diffusion","date":"2022-06-06","arxiv_id":"2206.02779","n_code_links":1,"syntology":{"ran":9,"of":13,"unverified":4,"pointer_only":1}},{"paper":"/paper/blended-diffusion-for-text-driven-editing-of","title":"Blended Diffusion for Text-driven Editing of Natural Images","date":"2021-11-29","arxiv_id":"2111.14818","n_code_links":1,"syntology":{"ran":14,"of":22,"unverified":8,"pointer_only":1}}],"papers_shown":3,"tasks":[{"task":"/task/image-generation","name":"Image Generation","papers":2},{"task":"/task/image-inpainting","name":"Image Inpainting","papers":2},{"task":"/task/text-to-image-generation","name":"Text-to-Image Generation","papers":2},{"task":"/task/zero-shot-text-to-image-generation","name":"Zero-Shot Text-to-Image Generation","papers":2},{"task":"/task/text-guided-image-editing","name":"text-guided-image-editing","papers":2},{"task":"/task/super-resolution","name":"Super-Resolution","papers":1},{"task":"/task/high","name":"Vocal Bursts Intensity Prediction","papers":1},{"task":"/task/spatial-aware-image-editing","name":"spatial-aware image editing","papers":1}],"tasks_shown":8,"n_tasks":8,"usage_by_year":[{"year":"2021","papers":1},{"year":"2022","papers":2}],"row_source":"methods_table","archive":{"source":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","archive_url":"https://paperswithcode.com/method/blended-diffusion"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}