AttentionGAN: Unpaired Image-to-Image Translation Using Attention-Guided Generative Adversarial Networks
AttentionGAN: Unpaired Image-to-Image Translation Using Attention-Guided Generative Adversarial Networks
State-of-the-art methods in the image-to-image translation are capable of learning a mapping from a source domain to a target domain with unpaired image data. Though the existing methods have achieved promising results, they still produce visual artifacts, being able to translate low-level information but not high-level semantics of input images. …