DragGAN

DragGAN,Achieve precise photo editing through dragging

Official DragGAN Website, Achieve precise photo editing with a simple drag

DragGAN Overview

Researchers from the Max Planck Institute for Informatics, MIT CSAIL, and Google have developed a new method for controlling GANs called DragGAN, allowing users to interactively "drag" any point in an image to its target point with precision.

GitHub Project Address (Code Download):

https://github.com/XingangPan/DragGAN

Project Address

Zeqiang-Lai/DragGAN: Related code and models, support local deployment, experience on Colab online.
OpenGVLab/InternGPT: Free online experience available

Online Experience #

InternGPT Google Colab CodewithGPU

Project Homepage:https://vcai.mpi-inf.mpg.de/projects/DragGAN/

Paper Link:https://arxiv.org/abs/2305.10973

DragGAN enables users to edit images by simply clicking and dragging points on them. This editing method is very intuitive, allowing users to define a pair (handle point, target point) directly on the image and drive the handle point to its corresponding target point. This method is based on pre-trained generative adversarial networks (GANs) to generate images that not only precisely follow the user's input but also remain on the manifold of real images. DragGAN achieves precise photo editing with a simple drag

The model named DragGAN is essentially an interactive image manipulation method developed for various GANsThe paper is based on theStyleGAN2architecture, achieving the effect of photo editing by simply clicking and dragging key points.