AI Image Generator | Canva vs Drag Your GAN

Transform text into stunning visuals with Canva's AI Image Generators, including Magic Media™ and Dream Lab. These tools let you quickly turn words and phrases into unique images in various art styles like Watercolor, Neon, and Retrowave. You can customize images with different aspect ratios and edit them using Canva's photo editing tools.

The platform supports creating graphics, icons, stickers, and illustrations tailored to your style or brand. Safety is a priority, with automated content reviews to prevent inappropriate outputs. Canva’s AI tools are designed for content creators, entrepreneurs, and artists to generate captivating visuals for presentations, social media, branding, and creative projects.

Drag Your GAN lets you reshape a generated image by dragging handle points to target spots on the canvas. Instead of training on labeled pose data or 3D priors, DragGAN moves pixels inside a pretrained GAN's image manifold so edits stay photorealistic even when occluded regions get hallucinated. The project page hosts the SIGGRAPH 2023 paper, demo clips, and links to open source code.

Most GAN editors rely on fixed training annotations or 3D meshes, which limits what you can deform. DragGAN pairs feature-based motion supervision with discriminative point tracking so handle points follow your cursor while staying on the object surface. That makes it useful for nudging animal poses, facial expressions, car angles, and landscape layouts without retraining the generator.

Researchers, graphics students, and computer vision engineers use it to prototype interactive image editing workflows. The Max Planck Institute page distributes the paper PDF and GitHub repo under a non-commercial Creative Commons license, with contact details for the lead author.