When someone describes an image for DALL-E, it generates a set of key features that this image might include.
At OpenAI, one of the world’s most ambitious artificial intelligence labs, researchers are building technology that lets you create digital images simply by describing what you want to see.
DALL-E can also edit photos. When Nichol erased the teddy bear’s trumpet and asked for a guitar instead, a guitar appeared between the furry arms. A half-decade ago, the world’s leading AI labs built systems that could identify objects in digital images and even generate images on their own, including flowers, dogs, cars and faces. A few years later, they built systems that could do much the same with written language, summarizing articles, answering questions, generating tweets and even writing blog posts.
But when Nichol tweaked his requests a little, adding or subtracting a few words here or there, it provided what he wanted. When he asked for “a piano in a living room filled with sand,” the image looked more like a beach in a living room. Then, a second neural network, called a diffusion model, creates the image and generates the pixels needed to realize these features. The latest version of DALL-E, unveiled Wednesday with a new research paper describing the system, generates high-resolution images that in many cases look like photos.
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