Google makes visible progress in developing text-to-image technologies based on artificial intelligence

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Engaged in developing new, even unexpected targeted technologies, Google’s research team said Imagen is a text-to-image model that has an “unprecedented degree of photorealism” and a deep level of language understanding. To understand, Text-to-image AI models are able to understand the relationship between an image and the words used to describe it. Text-to-image models take text inputs like “a dog on a bike” and produce a corresponding image. Imagen starts by generating a small (64×64 pixels) image and then does two “super resolution” passes on it to bring it up to 1024×1024.The research team says the improved software called DALL-E 2 “generates more realistic and accurate images with four times greater resolution”. Google’s research team said it has also created a benchmark tool to assess and compare different text-to-image models. Google Research also said that its preliminary analysis of Imagen suggests that the model encodes a range of “social and cultural biases” when making images of activities, events and objects.

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The new technique generated some concerns about its misuse possibility. „The potential risks of misuse raise concerns regarding responsible open-sourcing of code and demos. At this time we have decided not to release code or a public demo,” the researchers declared. Even if for the instant an immediate application of this research was not clearly established, it’s without doubts a way to push the AI capabilities for future developments that will prove to be important for the humanity.