Take a Look at This Cool Text-to-Image Method That Allows You to Dive Into Images

Here's a new method developed by researchers from the University of Washington, UC Berkeley, and Google Research that uses a text-to-image model to create consistent content across various image scales.

The researchers developed a method that uses text to create images at different scales, allowing for very detailed zooms into a scene. For example, you can go from seeing a wide-angle view of a forest to a close-up of an insect on a tree branch. This method would allow us to make videos that constantly zoom in and explore different parts of a scene.

This is achieved by using a multi-scale diffusion sampling approach, which keeps the images consistent at different scales. Each scale is guided by different text, allowing for deeper levels of zoom than traditional methods. The method actually seems to be effective at creating consistent multi-scale content.

As for now, there is no model available, only the method has been described. Well, I think that it's a cool idea that might allow us in the future to dig deeper into old photographs, memes, and textures.

Read the research here and don't forget to join our 80 Level Talent platform and our Telegram channel, follow us on Instagram, Twitter, and LinkedIn, where we share breakdowns, the latest news, awesome artworks, and more.