{"url":"/dataset/layoutbench-coco-position","name":"LayoutBench-COCO - Position","full_name":null,"description_markdown":"LayoutBench-COCO is a diagnostic benchmark that examines layout-guided image generation models on arbitrary, unseen layouts. Unlike LayoutBench, LayoutBench-COCO consists of OOD layouts of real objects and suports zero-shot evaluation. LayoutBench-COCO measures 4 skills (Number, Position, Size, Combination), whose objects are from MS COCO. The new 'combination’ split consists of layouts with two objects in different spatial relations, and the remaining three splits are similar to those of LayoutBench. Download dataset at: https://huggingface.co/datasets/j-min/layoutbench-coco","description_withheld":null,"homepage":"https://layoutbench.github.io/","introduced_date":"2023-04-13","introduced_date_note":null,"introduced_by":{"paper":"/paper/diagnostic-benchmark-and-iterative-inpainting","title":"Diagnostic Benchmark and Iterative Inpainting for Layout-Guided Image Generation","first_author":"Jaemin Cho","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Layout-to-Image Generation","url":"/task/layout-to-image-generation","datasets_with_task":"/datasets/task/layout-to-image-generation"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["LayoutBench-COCO - Position"],"data_loaders":[],"num_papers_in_archive":4,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/layout-to-image-generation-on-layoutbench-2","task":"Layout-to-Image Generation","dataset_variant":"LayoutBench-COCO - Position","rows":4,"metrics":["AP"],"first_row_in_archive_order":{"model":"IterInpaint","paper":"/paper/diagnostic-benchmark-and-iterative-inpainting","metrics":{"AP":"39.1"},"code_links":[{"title":"j-min/IterInpaint","url":"https://github.com/j-min/IterInpaint"},{"title":"j-min/LayoutBench-COCO","url":"https://github.com/j-min/LayoutBench-COCO"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/diagnostic-benchmark-and-iterative-inpainting","title":"Diagnostic Benchmark and Iterative Inpainting for Layout-Guided Image Generation","date":"2023-04-13","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/adding-conditional-control-to-text-to-image","title":"Adding Conditional Control to Text-to-Image Diffusion Models","date":"2023-02-10","rows_on_this_dataset":1,"code_links":12,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":4,"samples_ran":2,"samples_unverified":2,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/gligen-open-set-grounded-text-to-image","title":"GLIGEN: Open-Set Grounded Text-to-Image Generation","date":"2023-01-17","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":2,"samples_ran":2,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/reco-region-controlled-text-to-image","title":"ReCo: Region-Controlled Text-to-Image Generation","date":"2022-11-23","rows_on_this_dataset":1,"code_links":0,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":2,"samples_harvested":6,"samples_ran":4,"samples_unverified":2,"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."}