{"url":"/dataset/ffhqh","name":"FFHQH","full_name":"Flickr-Faces-HQ-Harmonization","description_markdown":"A new dataset for portrait harmonization based on the [FFHQ](https://github.com/NVlabs/ffhq-dataset).\r\nIt contains real images, foreground masks, and synthesized composites.\r\n\r\nGenerating composite images has two steps: alpha mask generation and color augmentation.\r\n\r\n[StyleMatte](https://arxiv.org/abs/2305.02981) - portrait matting network was used for mask generation.\r\n\r\nColor augmentations: brightness, contrast, hue, sharpness adjustment.\r\n\r\nFFHQH includes 60,000 triplets for train, 5000 for validation and 5000 for test. Triplet stands for <real image, mask, composite image>.","description_withheld":null,"homepage":"","introduced_date":"2024-02-27","introduced_date_note":null,"introduced_by":{"paper":"/paper/phnet-patch-based-normalization-for-portrait","title":"PHNet: Patch-based Normalization for Portrait Harmonization","first_author":"Karen Efremyan","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Image Harmonization","url":"/task/image-harmonization","datasets_with_task":"/datasets/task/image-harmonization"}],"languages":[],"variants":["FFHQH"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/image-harmonization-on-ffhqh","task":"Image Harmonization","dataset_variant":"FFHQH","rows":1,"metrics":["PSNR","MSE"],"first_row_in_archive_order":{"model":"PHNet","paper":"/paper/phnet-patch-based-normalization-for-portrait","metrics":{"MSE":"16.27","PSNR":"36.44"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/phnet-patch-based-normalization-for-portrait","title":"PHNet: Patch-based Normalization for Portrait Harmonization","date":"2024-02-27","rows_on_this_dataset":1,"code_links":0,"syntology":null}],"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."}