Datasets › Pretrained Models of the Benchmarking Algorithms for UVCGAN
Pretrained Models of the Benchmarking Algorithms for UVCGAN
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.
We 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.".
We only trained a model if a pretrained model is provided by a benchmarking algorithm.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
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Tasks archive 2025-07-28
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License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
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Languages archive 2025-07-28
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Variants archive 2025-07-28
- Pretrained Models of the Benchmarking Algorithms for UVCGAN
1 variant name, as the archive lists them.
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