DragGAN is an interactive tool for manipulating generated images by dragging points to specific target positions, allowing for precise control over pose, shape, expression, and layout.

How does DragGAN differ from existing GAN manipulation methods?

Unlike existing methods that rely on manually annotated training data or prior 3D models, DragGAN offers flexible and precise control by allowing users to drag points directly on the image.

Can DragGAN handle challenging scenarios?

Yes, DragGAN can produce realistic outputs even in challenging scenarios such as hallucinating occluded content and deforming shapes that follow the object's rigidity.

How does DragGAN achieve realistic results?

DragGAN operates on the learned generative image manifold of a GAN, enabling it to produce realistic images through precise manipulation techniques.

Is DragGAN suitable for real image manipulation?

Yes, DragGAN can also be used for manipulating real images through a process known as GAN inversion.

Who developed DragGAN?

DragGAN was developed by Xingang Pan, Ayush Tewari, Thomas Leimkühler, Lingjie Liu, Abhimitra Meka, and Christian Theobalt, affiliated with institutions like the Max Planck Institute for Informatics and others.

In what conference was DragGAN introduced?

DragGAN was introduced in the ACM SIGGRAPH 2023 Conference Proceedings.

Where can I find more information on DragGAN?

More information on DragGAN can be found on their project webpage, where you can also find downloads for the paper and code.

Learn to use AI like a Pro. Learn More

DraGan

Name: DraGan
Brand: DraGan
Rating: 5 (14 reviews)
Author: DraGan

Claim Tool

Last updated: January 3, 2025

14 reviews

What is DraGan?

DragGAN introduces an interactive point-based manipulation method for generative adversarial networks (GANs) that allows users to control the pose, shape, expression, and layout of generated images by dragging points to reach precise target positions. The tool uses feature-based motion supervision and a new point tracking approach to localize handle points effectively. Applicable to a wide range of categories including animals, cars, humans, and landscapes, DragGAN can generate realistic images even in challenging scenarios. This method surpasses previous approaches in image manipulation and point tracking.

Learn to use AI like a Pro

Get the latest AI workflows to boost your productivity and business performance, delivered weekly by expert consultants. Enjoy step-by-step guides, weekly Q&A sessions, and full access to our AI workflow archive.

DraGan's Top Features

Interactive point dragging

Feature-based motion supervision

New point tracking approach

Realistic image generation

Wide range of applications

Precise image control

GAN inversion for real images

Handles challenging scenarios

Applicable to various categories

Qualitative and quantitative superiority

Frequently asked questions about DraGan

DraGan's pricing

Customer Reviews

Share your thoughts

If you've used this product, share your thoughts with other customers

News

Top DraGan Alternatives

ControlNet Pose
Enhance Human Imagery with Advanced Pose Detection
Deep Dream Generator
Create Stunning AI-Generated Images with Deep Dream Generator
dreamlike.art
Create Stunning Art with AI in Seconds
Generated Photos
Generate unique, expressive AI-generated faces and full-body humans in real time.
Animated Drawings
Bring children's drawings to life with Animated Drawings by Meta AI Research!
AI Art Limited
Transform Your Photos with AI Art Generator
Draw Things
Draw Things: AI Generation - Unlock Your Creative Potential
AI Human Generator
Create Hyperrealistic Full-Body Humans in Real Time
MOTORICA
Craft AAA animation effortlessly with Generative AI mocap actor.