{"url":"/method/cutblur","slug":"cutblur","name":"CutBlur","full_name":"CutBlur","full_name_withheld":false,"description_markdown":"**CutBlur** is a data augmentation method that is specifically designed for the low-level vision tasks. It cuts a low-resolution patch and pastes it to the corresponding high-resolution image region and vice versa. The key intuition of Cutblur is to enable a model to learn not only \"how\" but also \"where\" to super-resolve an image. By doing so, the model can understand \"how much\" instead of blindly learning to apply super-resolution to every given pixel.","description_state":"present","introduced_year":null,"introduced_by":{"title":"Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy","paper":"/paper/rethinking-data-augmentation-for-image-super","first_author":"Jaejun Yoo","n_authors":3,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/rethinking-data-augmentation-for-image-super"},"source":{"url":"https://arxiv.org/abs/2004.00448v2","title":"Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy","url_on_a_paper_host":true},"code_snippet_url":null,"code_snippet_url_on_a_code_host":false,"categories":[{"area":"Computer Vision","area_id":"computer-vision","collection":"Image Data Augmentation","url":"/methods/category/image-data-augmentation","pwc_aliases":[]}],"n_papers_tagged":1,"archive_num_papers":1,"papers_newest_first":[{"paper":"/paper/rethinking-data-augmentation-for-image-super","title":"Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy","date":"2020-04-01","arxiv_id":"2004.00448","n_code_links":2,"syntology":{"ran":1,"of":7,"unverified":6,"pointer_only":0}}],"papers_shown":1,"tasks":[{"task":"/task/data-augmentation","name":"Data Augmentation","papers":1},{"task":"/task/denoising","name":"Denoising","papers":1},{"task":"/task/image-restoration","name":"Image Restoration","papers":1},{"task":"/task/image-super-resolution","name":"Image Super-Resolution","papers":1},{"task":"/task/super-resolution","name":"Super-Resolution","papers":1}],"tasks_shown":5,"n_tasks":5,"usage_by_year":[{"year":"2020","papers":1}],"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/cutblur"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}