{"url":"/dataset/cufs","name":"CUFS","full_name":"CUHK Face Sketch Database","description_markdown":"CUHK Face Sketch database (CUFS) is for research on face sketch synthesis and face sketch recognition. It includes 188 faces from the Chinese University of Hong Kong (CUHK) student database, 123 faces from the AR database [1], and 295 faces from the XM2VTS database [2]. There are 606 faces in total. For each face, there is a sketch drawn by an artist based on a photo taken in a frontal pose, under normal lighting condition, and with a neutral expression.\r\n\r\n[1] A. M. Martinez, and R. Benavente, “The AR Face Database,” CVC Technical Report #24, June 1998.\r\n\r\n[2] K. Messer, J. Matas, J. Kittler, J. Luettin, and G. Maitre, “XM2VTSDB: the Extended of M2VTS Database,” in Proceedings of International Conference on Audio- and Video-Based Person Authentication, pp. 72-77, 1999.\r\n\r\nSource Paper: [X. Wang and X. Tang, “Face Photo-Sketch Synthesis and Recognition,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 31, 2009](https://ieeexplore.ieee.org/document/4624272)\r\n\r\nImage Source: [CUHK Face Sketch Database (CUFS)](http://mmlab.ie.cuhk.edu.hk/archive/facesketch.html)\r\n\r\nSource: [CUHK Face Sketch Database (CUFS)](http://mmlab.ie.cuhk.edu.hk/archive/facesketch.html)","description_withheld":null,"homepage":"http://mmlab.ie.cuhk.edu.hk/archive/facesketch.html","introduced_date":"2009-11-01","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Face Sketch Synthesis","url":"/task/face-sketch-synthesis","datasets_with_task":"/datasets/task/face-sketch-synthesis"}],"languages":[],"variants":["CUFS"],"data_loaders":[],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/face-sketch-synthesis-on-cufs","task":"Face Sketch Synthesis","dataset_variant":"CUFS","rows":4,"metrics":["FSIM","SSIM","FID","NLDA"],"first_row_in_archive_order":{"model":"Residual net + Pseudo Sketch Feature Loss + LSGAN","paper":"/paper/semi-supervised-learning-for-face-sketch","metrics":{"FSIM":"72.56%","SSIM":"54.63%"},"code_links":[{"title":"chaofengc/Face-Sketch-Wild","url":"https://github.com/chaofengc/Face-Sketch-Wild"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/semi-supervised-learning-for-face-sketch","title":"Semi-Supervised Learning for Face Sketch Synthesis in the Wild","date":"2018-12-12","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/towards-realistic-face-photo-sketch-synthesis","title":"Towards Realistic Face Photo-Sketch Synthesis via Composition-Aided GANs","date":"2017-12-04","rows_on_this_dataset":3,"code_links":2,"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."}