Interactive GAN Control with DragGAN

<p>Creating visual content that meets user needs typically requires flexible and precise control over pose, shape, expression, and layout of generated objects. Extyst presents DragGAN - a new and powerful tool for controlling GANs that allows you to 'drag' any points in an image to specified target points interactively.</p>
<p>This approach could be the next step in creating more accurate and desirable images, and even in producing videos where the production is done by specifying the direction of movement of different parts of the object.</p>
<p>Manipulations performed using DragGAN are executed on a trained generative GAN image, allowing for realistic results even in complex scenarios, such as imagined hidden content and deformation of shapes that consistently follow the rigidity of the object. DragGAN outperforms previous approaches in image manipulation tasks and point tracking, as shown by qualitative and quantitative comparisons.</p>
<p>📝 Paper: <a href="https://vcai.mpi-inf.mpg.de/projects/DragGAN/data/paper.pdf">https://vcai.mpi-inf.mpg.de/projects/DragGAN/data/paper.pdf</a><br />👨‍💻 Github: <a href="https://github.com/XingangPan/DragGAN">https://github.com/XingangPan/DragGAN</a><br />🧪 Demo: <a href="https://github.com/Zeqiang-Lai/DragGAN">https://github.com/Zeqiang-Lai/DragGAN</a></p>;
<p>#ai #gpt #llm #image</p>