{"url":"/task/image-editing","name":"Image Editing","slug":"image-editing","description_markdown":null,"categories":[{"name":"Computer Vision","url":"/area/computer-vision"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":10,"papers_with_code":8,"benchmarks":2,"benchmark_tables_in_archive":2,"benchmark_tables_shown":2,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":2,"subtasks":5,"parent_tasks":0},"benchmarks":[{"leaderboard":"/sota/image-editing-on-imgedit-data","slug":"image-editing-on-imgedit-data","dataset":"ImgEdit-Data","dataset_url":"/dataset/imgedit-data","rows_in_archive":9,"metrics":["Overall","Add","Adjust","Extract","Replace","Remove","Background","Style","Hybrid","Action"],"first_row_in_archive_order":{"model":"BAGEL-NHR-EDIT","paper_title":"NoHumansRequired: Autonomous High-Quality Image Editing Triplet Mining","paper_url":"/paper/nohumansrequired-autonomous-high-quality","paper_date":"2025-07-18","arxiv_id":"2507.14119","code_links":[],"syntology":null}},{"leaderboard":"/sota/image-editing-on-gedit-bench-en","slug":"image-editing-on-gedit-bench-en","dataset":"GEdit-Bench-EN","dataset_url":"/dataset/gedit-bench","rows_in_archive":3,"metrics":["Overall","Perceptual Quality","Semantic Consistency"],"first_row_in_archive_order":{"model":"BAGEL-NHR-EDIT","paper_title":"NoHumansRequired: Autonomous High-Quality Image Editing Triplet Mining","paper_url":"/paper/nohumansrequired-autonomous-high-quality","paper_date":"2025-07-18","arxiv_id":"2507.14119","code_links":[],"syntology":null}}],"datasets":[{"url":"/dataset/imgedit-data","name":"ImgEdit-Data","full_name":"","num_papers_in_archive":10},{"url":"/dataset/gedit-bench","name":"GEdit-Bench-EN","full_name":"","num_papers_in_archive":6}],"subtasks":[{"url":"/task/joint-deblur-and-frame-interpolation","name":"Joint Deblur and Frame Interpolation"},{"url":"/task/multimodal-fashion-image-editing","name":"Multimodal fashion image editing"},{"url":"/task/multimodel-guided-image-editing","name":"Multimodel-guided image editing"},{"url":"/task/shadow-removal","name":"Shadow Removal"},{"url":"/task/unrolling","name":"Rolling Shutter Correction"}],"parent_tasks":[],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":8,"of":8,"tagged_in_all":10,"items":[{"url":"/paper/instructpix2pix-learning-to-follow-image","title":"InstructPix2Pix: Learning to Follow Image Editing Instructions","date":"2022-11-17","arxiv_id":"2211.09800","repositories_listed":6,"syntology":{"n":20,"n_ran":15,"n_unverified":5,"n_pointer_only":0}},{"url":"/paper/uniworld-v1-high-resolution-semantic-encoders","title":"UniWorld-V1: High-Resolution Semantic Encoders for Unified Visual Understanding and Generation","date":"2025-06-03","arxiv_id":"2506.03147","repositories_listed":2,"syntology":null},{"url":"/paper/imgedit-a-unified-image-editing-dataset-and","title":"ImgEdit: A Unified Image Editing Dataset and Benchmark","date":"2025-05-26","arxiv_id":"2505.20275","repositories_listed":2,"syntology":{"n":2,"n_ran":2,"n_unverified":0,"n_pointer_only":2}},{"url":"/paper/emerging-properties-in-unified-multimodal","title":"Emerging Properties in Unified Multimodal Pretraining","date":"2025-05-20","arxiv_id":"2505.14683","repositories_listed":2,"syntology":{"n":21,"n_ran":9,"n_unverified":12,"n_pointer_only":0}},{"url":"/paper/in-context-editing-learning-knowledge-from","title":"In-Context Editing: Learning Knowledge from Self-Induced Distributions","date":"2024-06-17","arxiv_id":"2406.11194","repositories_listed":2,"syntology":{"n":8,"n_ran":5,"n_unverified":3,"n_pointer_only":8}},{"url":"/paper/step1x-edit-a-practical-framework-for-general","title":"Step1X-Edit: A Practical Framework for General Image Editing","date":"2025-04-24","arxiv_id":"2504.17761","repositories_listed":1,"syntology":{"n":4,"n_ran":4,"n_unverified":0,"n_pointer_only":0}},{"url":"/paper/ultraedit-instruction-based-fine-grained","title":"UltraEdit: Instruction-based Fine-Grained Image Editing at Scale","date":"2024-07-07","arxiv_id":"2407.05282","repositories_listed":1,"syntology":{"n":17,"n_ran":10,"n_unverified":7,"n_pointer_only":17}},{"url":"/paper/magicbrush-a-manually-annotated-dataset-for","title":"MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing","date":"2023-06-16","arxiv_id":"2306.10012","repositories_listed":1,"syntology":null}],"syntology_records":6,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}