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AI learned to draw images from their text description
Soon, androids will not only dream of electric sheep, but they will even be able to depict them on canvas. Recently, the OpenAI company, to the foundation of which Ilon Musk had a hand in his time, reported that it was able to train a neural network to create drawings from short text signatures. This is the first solution for AI to create a complex and coherent visual representation using just a short textual explanation. The illustrative profession may disappear.
Image source: OpenAI
OpenAI trained Dall-E software for graphical representations of signatures. For training, a dataset of 12 billion images and their signatures, which were found on the Internet, was run through a neural network. The result of the training impressed even the creators.
“We found that he [Dall-E] had a diverse set of capabilities, including creating anthropomorphic versions of animals and objects, combining unrelated concepts in believable ways, rendering text and applying transformations to existing images,” the company wrote. The illustration below is an example of the images Dall-E drew based on two text messages, one about a daikon (radish) baby in a tutu walking a dog, and the other about an avocado-shaped armchair.
Illustration of a small radish (daikon) in a tutu walking a dog, by DALL-E
Avocado armchair by DALL-E
The Dall-E program, which combines in its name the name of the surrealist artist Salvador Dali and the name of the cartoon character Wall-E, is based on a text generator called GPT-3 (Generative Pre-Training). OpenAI introduced the GPT-3 generator last spring and is preparing to commercialize the API for this development. The system, trained by GPT-3, turned out to be able to create coherent texts both for chat bots and in the form of detailed articles on any topic. In addition to GPT-3, the Dall-E package was also trained in text and graphics, showing the result that we all have yet to comprehend.
Developers at OpenAI acknowledge that Dall-E has “the potential for significant and widespread public impact,” adding that the company “plans to analyze the potential impact of such Dall-E solutions on certain work processes and professions, long-term ethical issues and other issues related to this technology “.