{"url":"/dataset/pretrained-models-of-the-benchmarking","name":"Pretrained Models of the Benchmarking Algorithms for UVCGAN","full_name":null,"description_markdown":"The pretrained models from four image translation algorithms: ACL-GAN, Council-GAN, CycleGAN, and U-GAT-IT on three benchmarking datasets: Selfie2Anime, CelebA_gender, CelebA_glasses.\r\n\r\nWe trained the models to provide benchmarks for the algorithm we detailed in the paper \"UVCGAN: UNet Vision Transformer Cycle-consistent GAN for Unpaired Image-to-Image Translation.\". \r\n\r\nWe only trained a model if a pretrained model is provided by a benchmarking algorithm.","description_withheld":null,"homepage":"https://zenodo.org/record/6329717","introduced_date":"2022-03-04","introduced_date_note":null,"introduced_by":{"paper":"/paper/uvcgan-unet-vision-transformer-cycle","title":"UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translation","first_author":"Dmitrii Torbunov","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["Pretrained Models of the Benchmarking Algorithms for UVCGAN"],"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."}