{"url":"/dataset/viton-hd","name":"VITON-HD","full_name":"High-Resolution VITON-Zalando Dataset","description_markdown":"**VITON-HD** dataset is a dataset for high-resolution (i.e.,  1024x768) virtual try-on of clothing items. Specifically, it consists of 13,679 frontal-view woman and top clothing image pairs.","description_withheld":null,"homepage":"https://github.com/shadow2496/VITON-HD","introduced_date":"2021-03-31","introduced_date_note":null,"introduced_by":{"paper":"/paper/viton-hd-high-resolution-virtual-try-on-via","title":"VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization","first_author":"Seunghwan Choi","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Virtual Try-on","url":"/task/virtual-try-on","datasets_with_task":"/datasets/task/virtual-try-on"},{"name":"Virtual Try-Off","url":"/task/virtual-try-off","datasets_with_task":"/datasets/task/virtual-try-off"}],"languages":[],"variants":["VITON-HD"],"data_loaders":[{"repo":"https://github.com/yisol/IDM-VTON","url":"https://github.com/yisol/IDM-VTON","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/rizavelioglu/tryoffdiff","url":"https://github.com/rizavelioglu/tryoffdiff","frameworks":["pytorch"]}],"num_papers_in_archive":84,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/virtual-try-on-on-viton-hd","task":"Virtual Try-on","dataset_variant":"VITON-HD","rows":5,"metrics":["FID"],"first_row_in_archive_order":{"model":"FItDiT","paper":"/paper/fitdit-advancing-the-authentic-garment","metrics":{"FID":"4.7309"},"code_links":[{"title":"BoyuanJiang/FitDiT","url":"https://github.com/BoyuanJiang/FitDiT"},{"title":"Sainzerjj/FitDiT","url":"https://github.com/Sainzerjj/FitDiT"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/virtual-try-off-on-viton-hd","task":"Virtual Try-Off","dataset_variant":"VITON-HD","rows":1,"metrics":["DISTS"],"first_row_in_archive_order":{"model":"TryOffDiff","paper":"/paper/tryoffdiff-virtual-try-off-via-high-fidelity","metrics":{"DISTS":"0.230"},"code_links":[{"title":"rizavelioglu/tryoffdiff","url":"https://github.com/rizavelioglu/tryoffdiff"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/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","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/fitdit-advancing-the-authentic-garment","title":"FitDiT: Advancing the Authentic Garment Details for High-fidelity Virtual Try-on","date":"2024-11-15","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":6,"samples_ran":5,"samples_unverified":1,"pointer_only_for_licence":6,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/improving-diffusion-models-for-virtual-try-on","title":"Improving Diffusion Models for Authentic Virtual Try-on in the Wild","date":"2024-03-08","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":6,"samples_ran":2,"samples_unverified":4,"pointer_only_for_licence":6,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/stableviton-learning-semantic-correspondence","title":"StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On","date":"2023-12-04","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":11,"samples_ran":8,"samples_unverified":3,"pointer_only_for_licence":11,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/high-resolution-virtual-try-on-with","title":"High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions","date":"2022-06-28","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":3,"samples_unverified":0,"pointer_only_for_licence":3,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/viton-hd-high-resolution-virtual-try-on-via","title":"VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization","date":"2021-03-31","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":5,"samples_ran":4,"samples_unverified":1,"pointer_only_for_licence":5,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":5,"samples_harvested":31,"samples_ran":22,"samples_unverified":9,"pointer_only_for_licence":31,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}