{"url":"/dataset/stylebench","name":"StyleBench","full_name":null,"description_markdown":"To comprehensively evaluate the effectiveness and generalization ability of style transfer methods, we build StyleBench that covers 73 distinct styles, ranging from paintings, flat illustrations, 3D rendering to sculptures with varying materials. For each style, we collect 5-7 distinct images with variations. \r\nIn total, our StyleBench contains 490 images across diverse styles.","description_withheld":null,"homepage":"https://github.com/open-mmlab/StyleShot","introduced_date":"2024-07-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/styleshot-a-snapshot-on-any-style","title":"StyleShot: A Snapshot on Any Style","first_author":"Junyao Gao","url":null},"license":null,"modalities":[],"tasks":[{"name":"Style Transfer","url":"/task/style-transfer","datasets_with_task":"/datasets/task/style-transfer"}],"languages":[],"variants":["StyleBench"],"data_loaders":[],"num_papers_in_archive":7,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/style-transfer-on-stylebench","task":"Style Transfer","dataset_variant":"StyleBench","rows":7,"metrics":["CLIP Score"],"first_row_in_archive_order":{"model":"StyleShot","paper":"/paper/styleshot-a-snapshot-on-any-style","metrics":{"CLIP Score":"0.660"},"code_links":[{"title":"open-mmlab/StyleShot","url":"https://github.com/open-mmlab/StyleShot"},{"title":"Vill-Lab/forkOfStyleShot","url":"https://github.com/Vill-Lab/forkOfStyleShot"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/styleshot-a-snapshot-on-any-style","title":"StyleShot: A Snapshot on Any Style","date":"2024-07-01","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":9,"samples_ran":5,"samples_unverified":4,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/style-injection-in-diffusion-a-training-free","title":"Style Injection in Diffusion: A Training-free Approach for Adapting Large-scale Diffusion Models for Style Transfer","date":"2023-12-11","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":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/inversion-based-creativity-transfer-with","title":"Inversion-Based Style Transfer with Diffusion Models","date":"2022-11-23","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/domain-enhanced-arbitrary-image-style","title":"Domain Enhanced Arbitrary Image Style Transfer via Contrastive Learning","date":"2022-05-19","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":9,"samples_ran":4,"samples_unverified":5,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/exact-feature-distribution-matching-for","title":"Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization","date":"2022-03-15","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":15,"samples_ran":4,"samples_unverified":11,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/stytr2-image-style-transfer-with-transformers","title":"StyTr2: Image Style Transfer With Transformers","date":"2022-01-01","rows_on_this_dataset":1,"code_links":3,"syntology":null},{"paper":"/paper/adaattn-revisit-attention-mechanism-in","title":"AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer","date":"2021-08-08","rows_on_this_dataset":1,"code_links":3,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":5,"samples_ran":5,"samples_unverified":0,"pointer_only_for_licence":4,"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":41,"samples_ran":21,"samples_unverified":20,"pointer_only_for_licence":4,"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."}