This enables users to deform and manipulate a wide range of categories, including animals, humans, cars, landscapes, and more, producing realistic outputs even in challenging scenarios such as occluded content and shape deformation. DragGAN outperforms previous methods in image manipulation and point tracking, and it also allows for the manipulation of real images through GAN inversion. By providing users with precise control and flexibility over pixels, Drag Your GAN showcases the potential of GANs in synthesizing visual content for diverse needs, making it an essential tool in the AI domain.
