{"url":"/task/virtual-try-off","name":"Virtual Try-Off","slug":"virtual-try-off","description_markdown":"Virtual Try-Off (VTOFF) is a novel computer vision task that extracts standardized, canonical garment images from single photos of clothed individuals, moving beyond traditional virtual try-on techniques by focusing on precise garment reconstruction rather than model dressing. The task was introduced in [TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion Models](https://paperswithcode.com/paper/tryoffdiff-virtual-try-off-via-high-fidelity).","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":5,"papers_with_code":4,"benchmarks":1,"benchmark_tables_in_archive":1,"benchmark_tables_shown":1,"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":1,"subtasks":0,"parent_tasks":1},"benchmarks":[{"leaderboard":"/sota/virtual-try-off-on-viton-hd","slug":"virtual-try-off-on-viton-hd","dataset":"VITON-HD","dataset_url":"/dataset/viton-hd","rows_in_archive":1,"metrics":["DISTS"],"first_row_in_archive_order":{"model":"TryOffDiff","paper_title":"TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion Models","paper_url":"/paper/tryoffdiff-virtual-try-off-via-high-fidelity","paper_date":"2024-11-27","arxiv_id":"2411.18350","code_links":[{"title":"rizavelioglu/tryoffdiff","url":"https://github.com/rizavelioglu/tryoffdiff"}],"syntology":null}}],"datasets":[{"url":"/dataset/viton-hd","name":"VITON-HD","full_name":"High-Resolution VITON-Zalando Dataset","num_papers_in_archive":84}],"subtasks":[],"parent_tasks":[{"url":"/task/image-to-image-translation","name":"Image-to-Image Translation"}],"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":4,"of":4,"tagged_in_all":5,"items":[{"url":"/paper/inverse-virtual-try-on-generating-multi","title":"Inverse Virtual Try-On: Generating Multi-Category Product-Style Images from Clothed Individuals","date":"2025-05-27","arxiv_id":"2505.21062","repositories_listed":1,"syntology":{"n":3,"n_ran":2,"n_unverified":1,"n_pointer_only":3}},{"url":"/paper/enhancing-person-to-person-virtual-try-on","title":"Enhancing Person-to-Person Virtual Try-On with Multi-Garment Virtual Try-Off","date":"2025-04-17","arxiv_id":"2504.13078","repositories_listed":1,"syntology":null},{"url":"/paper/tryoffanyone-tiled-cloth-generation-from-a","title":"TryOffAnyone: Tiled Cloth Generation from a Dressed Person","date":"2024-12-11","arxiv_id":"2412.08573","repositories_listed":1,"syntology":{"n":5,"n_ran":0,"n_unverified":5,"n_pointer_only":5}},{"url":"/paper/tryoffdiff-virtual-try-off-via-high-fidelity","title":"TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion Models","date":"2024-11-27","arxiv_id":"2411.18350","repositories_listed":1,"syntology":null}],"syntology_records":2,"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":1,"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"}}