Pretrained Models of the Benchmarking Algorithms for UVCGAN
Introduced by Torbunov et al. in UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translation
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.
Papers
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