{"url":"/dataset/coco-mig","name":"COCO-MIG","full_name":"COCO-MIG benchmark","description_markdown":"The COCO-MIG benchmark (Common Objects in Context Multi-Instance Generation) is a benchmark used to evaluate the generation capability of generators on text containing multiple attributes of multi-instance objects. This benchmark consists of 800 sets of examples sampled from the COCO dataset. Following the layout of the COCO dataset, each instance is assigned random color information, and corresponding global image descriptions are constructed according to templates.\r\nThe COCO-MIG also provides a complete pipeline for resampling and evaluating. For relevant tools and specific details, please refer to our project's homepage.","description_withheld":null,"homepage":"https://github.com/LeyRio/MIG_Bench","introduced_date":"2024-02-08","introduced_date_note":null,"introduced_by":{"paper":"/paper/migc-multi-instance-generation-controller-for","title":"MIGC: Multi-Instance Generation Controller for Text-to-Image Synthesis","first_author":"Dewei Zhou","url":null},"license":{"name":"CC BY-NC","url":"https://creativecommons.org/licenses/by-nc/4.0/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Conditional Text-to-Image Synthesis","url":"/task/conditional-text-to-image-synthesis","datasets_with_task":"/datasets/task/conditional-text-to-image-synthesis"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["COCO-MIG"],"data_loaders":[],"num_papers_in_archive":8,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/conditional-text-to-image-synthesis-on-coco-1","task":"Conditional Text-to-Image Synthesis","dataset_variant":"COCO-MIG","rows":5,"metrics":["instance success rate","mIoU"],"first_row_in_archive_order":{"model":"MIGC","paper":"/paper/migc-multi-instance-generation-controller-for","metrics":{"instance success rate":"0.66","mIoU":"0.56"},"code_links":[{"title":"limuloo/migc","url":"https://github.com/limuloo/migc"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/migc-multi-instance-generation-controller-for","title":"MIGC: Multi-Instance Generation Controller for Text-to-Image Synthesis","date":"2024-02-08","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":9,"samples_ran":8,"samples_unverified":1,"pointer_only_for_licence":9,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/instancediffusion-instance-level-control-for","title":"InstanceDiffusion: Instance-level Control for Image Generation","date":"2024-02-05","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":18,"samples_ran":17,"samples_unverified":1,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/boxdiff-text-to-image-synthesis-with-training","title":"BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion","date":"2023-07-20","rows_on_this_dataset":1,"code_links":2,"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."}},{"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":4,"samples_harvested":34,"samples_ran":31,"samples_unverified":3,"pointer_only_for_licence":14,"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."}