DragGAN is an interactive image editing tool that allows users to manipulate images by dragging specific points to desired target positions. By leveraging the latent space of Generative Adversarial Networks (GANs), DragGAN enables precise control over image attributes such as pose, shape, and expression. This approach facilitates realistic and coherent modifications, even in challenging scenarios like hallucinating occluded content or deforming shapes while preserving object rigidity. The tool supports editing of various categories, including animals, cars, humans, and landscapes.
Key Features
Point-Based Manipulation: Users can interactively drag points on an image to new locations, with the model updating the image accordingly.
GAN Inversion Support: Allows editing of real images by projecting them into the GAN's latent space.
Cross-Platform Compatibility: Supports Windows, macOS, and Linux systems.
Demo Availability: Includes a Colab notebook and Gradio-based web demo for easy experimentation.
Open Source: The codebase and models are fully open-sourced for community use and development.
Android DevHub
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