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posted by chromas on Monday July 05 2021, @05:17PM   Printer-friendly
from the rendered-in-unreal-engine dept.

From Machine Learning @ Berkeley Blog

In recent months there has been a bit of an explosion in the AI generated art scene.

Ever since OpenAI released the weights and code for their CLIP model, various hackers, artists, researchers, and deep learning enthusiasts have figured out how to utilize CLIP as a an effective “natural language steering wheel” for various generative models, allowing artists to create all sorts of interesting visual art merely by inputting some text – a caption, a poem, a lyric, a word – to one of these models.

[The linked story provides about 3 dozen stunning examples of inputs and generated images as well as an extensive links to resources, preprints, and journal articles.--martyb]


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  • (Score: 4, Informative) by FatPhil on Monday July 05 2021, @09:19PM

    This classic was 4 years ago: https://www.youtube.com/watch?v=5DaVnriHhPc
    You can see that deep down it's not actually evolved that far in those intervening years. That one was of course deliberately trained on a very restricted training set for lulz, don't be fooled into thinking that the AI itself is twisted. The ability to stimulate the generation with textual keywords was always programmed into the AI, the internal model of what it's learnt is basically independent of the method it got the input. Show me the realtime demo of you speaking too it, accompanied with what the AI thinks the visuals should be. Let me play!
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