Pretrained Models of the Benchmarking Algorithms for UVCGAN

홈페이지 · 논문 1편

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.