# Image Manipulation

DragGAN AI is an advanced and innovative photo editing tool that leverages artificial intelligence to make image transformation and modification effortless. It goes beyond traditional pixel manipulation, empowering users to apply various editing effects to different object types within an image. With DragGAN AI Tool, you can regenerate, rotate, and transform elements within your photos, granting you complete control over the editing process.

Drag Your GAN is a tool for interactive point manipulation of generative adversarial networks (GANs). It allows you to precisely control the pose, shape, expression, and layout of generated images by dragging points on the image. With Drag Your GAN, you can manipulate images of various categories, such as animals, cars, humans, and landscapes. These manipulations are performed on the learned image generation manifold, resulting in realistic outputs even in challenging scenarios (such as phantom content occlusion and maintaining object rigid shape deformation). Drag Your GAN outperforms previous methods in image manipulation and point tracking tasks.

Drag Your GAN is an interactive point-based Generative Adversarial Network (GAN) tool for image manipulation. It allows users to precisely manipulate the pose, shape, expression, and layout of images by dragging points within the image. The tool achieves this through two main components: 1) Feature-based motion supervision, which guides the movement of points towards their target positions; 2) A novel point tracking method that utilizes discriminator GAN features to continuously locate the positions of points. Users can manipulate a variety of image categories, including animals, vehicles, people, and landscapes. By operating within the learned image space of the GAN, the tool produces realistic outputs capable of handling challenging scenarios, such as generating occluded content and maintaining object shape coherence. Drag Your GAN outperforms existing methods in image manipulation and point tracking tasks while also demonstrating the ability to manipulate real images through GAN inversion.