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Abstract: We introduce a diffusion-based cross-domain image translator in the absence of paired training data. Unlike GAN-based methods, our approach integrates diffusion models to learn the image ...

Abstract: Image-to-image translation has become a crucial research area, aiming to enable one image to absorb the style of another while retaining its own content. In this research the CycleGAN has ...