There are many brands that are attempting to offer editing options for generative AI content. “Our approach can hallucinate occluded content, like the teeth inside a lion’s mouth, and can deform following the object’s rigidity, like the bending of a horse leg.” The research team noted in its paper that new details can be added within the regeneration of the edited aspects of images that are beneficial to the update. With many AI tools currently available, users have to regenerate an image with a more specific prompt to get a more desirable result. Some demos that are a part of the research paper include adding height to a mountain, changing the positioning of a model and editing the length and shape of her clothes, opening or closing a lion’s mouth, and changing a person’s face from a plain look to a smile. So you can go back in afterward and make edits to an existing image, instead of automatically having to generate a new image. The potential of such a tool lies in the fact that text-to-image generative AI doesn’t always output what you might want. The Verge compared DragGAN to the Warp tool in Photoshop, adding that it is much more powerful since it doesn’t “smush pixels around,” but rather “re-generates the underlying object,” and can even rotate 3D images.

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