The DALL-E 2 neural network completed the Mona Lisa and other famous paintings. It turned out cool

The DALL-E 2 neural network, which was originally able to generate images from a text description, has now learned how to complete paintings by famous artists. And she does it quite well. What is the picture of Leonardo da Vinci “Mona Lisa” worth, which the neural network supplemented by drawing Gioconda’s legs. Thus, you can see what is “behind the scenes” and always remains in the view of each of us.

Other paintings are no less impressive. For example, in such works as “Girl with Peaches” by Valentin Serov and “Girl with a Pearl Earring” by Jan Vermeer, DALL-E 2 very successfully completed the room, as well as the clothes, adhering to the original visual style. Other works of the neural network can be seen in the Neural Networks and Blender Telegram channel.

DALL-E 2 was created by OpenAI. The neural network uses the third generation GPT-3 language model with 12 billion parameters to interpret the input data and generates the corresponding pictures. It can create images of realistic objects, as well as objects that do not exist in reality. Its testing began in April 2022, and most recently it became known that DALL-E 2 came up with its own language, which people have yet to decipher.

Source: Trash Box

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