Attention-Based Spatial Guidance for Image-to-Image Translation

The aim of image-to-image translation algorithms is to tackle the challenges of learning a proper mapping function across different domains. Generative Adversarial Networks (GANs) have shown superior ability to handle this problem in both supervised and unsupervised ways. However, one critical problem of GAN in practice is that the discriminator is typically much stronger than the generator, which...