DragGAN - Next-Level Image Editing Like You’ve Never Seen Before! Quick Demo

Subscribe: Download DragGan paper here: A collaborative effort from researchers at Google, the Max Planck Institute of Informatics, and MIT CSAIL have unveiled DragGAN, a new approach to point-based image editing that uses pre-trained Generative Adversarial Networks (GANs). The technique precisely follows user input while maintaining the integrity of realistic images, without relying on domain-specific modeling or auxiliary networks. DragGAN optimizes latent codes, adjusting multiple handle points towards their target locations and tracking point trajectories, thus offering pixel-precise image deformations and interactive performance. This method is claimed to outperform current state-of-the-art GAN-based manipulation methods and signals a step forward in image editing using generative priors. The researchers aim to extend this technique to 3D generative models in the futur