Drag Your GAN vs Dall-E 2

Explore the showdown between Drag Your GAN vs Dall-E 2 and find out which AI Image Generation Model tool wins. We analyze upvotes, features, reviews, pricing, alternatives, and more.

Drag Your GAN

Drag Your GAN

What is Drag Your GAN?

In the realm of synthesizing visual content to meet users' needs, achieving precise control over pose, shape, expression, and layout of generated objects is essential. Traditional approaches to controlling generative adversarial networks (GANs) have relied on manual annotations during training or prior 3D models, often lacking the flexibility, precision, and versatility required for diverse applications.

In our research, we explore an innovative and relatively uncharted method for GAN control – the ability to "drag" specific image points to precisely reach user-defined target points in an interactive manner (as illustrated in Fig.1). This approach has led to the development of DragGAN, a novel framework comprising two core components:

Feature-Based Motion Supervision: This component guides handle points within the image toward their intended target positions through feature-based motion supervision.

Point Tracking: Leveraging discriminative GAN features, our new point tracking technique continuously localizes the position of handle points.

DragGAN empowers users to deform images with remarkable precision, enabling manipulation of the pose, shape, expression, and layout across diverse categories such as animals, cars, humans, landscapes, and more. These manipulations take place within the learned generative image manifold of a GAN, resulting in realistic outputs, even in complex scenarios like generating occluded content and deforming shapes while adhering to the object's rigidity.

Our comprehensive evaluations, encompassing both qualitative and quantitative comparisons, highlight DragGAN's superiority over existing methods in tasks related to image manipulation and point tracking. Additionally, we demonstrate its capabilities in manipulating real-world images through GAN inversion, showcasing its potential for various practical applications in the realm of visual content synthesis and control.

Dall-E 2

Dall-E 2

What is Dall-E 2?

DALLE 2 is a piece of artificial intelligence that produces art and realistic images from descriptions given in natural language. It can analyse and interpret descriptions and produce corresponding images by combining machine learning algorithms and neural networks. This ground-breaking tool has the power to completely alter how we produce and appreciate art, opening up a world of exciting new opportunities for creators and artists.

Drag Your GAN Upvotes


Dall-E 2 Upvotes


Drag Your GAN Category

    Image Generation Model

Dall-E 2 Category

    Image Generation Model

Drag Your GAN Pricing Type


Dall-E 2 Pricing Type


Drag Your GAN Technologies Used


Dall-E 2 Technologies Used


Drag Your GAN Tags

Feature-based motion supervision
Point tracking
Image synthesis
Visual content manipulation
Image deformations
Realistic outputs
Machine learning research
Computer vision
Image processing
GAN inversion

Dall-E 2 Tags

AI Art

In a face-off between Drag Your GAN and Dall-E 2, which one takes the crown?

When we contrast Drag Your GAN with Dall-E 2, both of which are exceptional AI-operated image generation model tools, and place them side by side, we can spot several crucial similarities and divergences. The users have made their preference clear, Dall-E 2 leads in upvotes. Dall-E 2 has been upvoted 10 times by aitools.fyi users, and Drag Your GAN has been upvoted 8 times.

Want to flip the script? Upvote your favorite tool and change the game!

By Rishit