{"url":"/dataset/drag100","name":"Drag100","full_name":null,"description_markdown":"The **Drag100 dataset** is introduced in the paper \"GoodDrag: Towards Good Practices for Drag Editing with Diffusion Models\"¹. This dataset is a new contribution to the benchmarking of drag editing¹. \r\n\r\nThe authors of the paper have developed this dataset to improve the evaluation and development of drag editing techniques¹. The Drag100 dataset, along with the proposed quality assessment metrics such as the Dragging Accuracy Index and Gemini Score, are utilized for extensive experiments¹. These experiments demonstrate that the proposed GoodDrag method compares favorably against the state-of-the-art approaches both qualitatively and quantitatively¹.\r\n\r\n(1) GoodDrag: Towards Good Practices for Drag Editing with Diffusion Models. https://arxiv.org/abs/2404.07206v1.\r\n(2) Xiangyu Xu - GitHub Pages. https://xuxy09.github.io/.\r\n(3) GoodDrag: Towards Good Practices for Drag Editing with Diffusion Models. https://gooddrag.github.io/.\r\n(4) [2306.14435] DragDiffusion: Harnessing Diffusion Models for Interactive .... https://arxiv.org/abs/2306.14435.\r\n(5) undefined. https://doi.org/10.48550/arXiv.2404.07206.","description_withheld":null,"homepage":"https://gooddrag.github.io","introduced_date":"2024-04-10","introduced_date_note":null,"introduced_by":{"paper":"/paper/gooddrag-towards-good-practices-for-drag","title":"GoodDrag: Towards Good Practices for Drag Editing with Diffusion Models","first_author":"Zewei Zhang","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Drag100"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"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."}