"Implementation of Attention Mechanism in GAN for the Purpose of Qualit" by Preeti Sharma, Manoj Kumar et al.
The attention mechanism is primarily responsible for improving Generative Adversarial Networks' (GANs) false picture detection. Synthetic images produced by GANs are very lifelike, which has transformed the picture creation area. That same potential, meanwhile, has also sparked worries about the creation of false or misleading material. The attention mechanism facilitates selective emphasis on particular areas of an image during creation. This mechanism is based on human visual perception. It facilitates the discriminator network in GANs to concentrate more on critical regions, which are ...
Source: uow.edu.au