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Japanese researchers use Steady Diffusion AI to generate photos from the mind
A workforce of Japanese researchers based mostly in Osaka have used Steady Diffusion AI to assist generate photos utilizing MRI scans within the enter. The outcomes are shocking.
Researchers Yu Takagi and Shinji Nishimoto from the Graduate Faculty of Frontier Biosciences based mostly in Osaka College revealed their findings in a brief doc.
The analysis workforce introduced topics with a set of photos and took fMRI (useful magnetic resonance imaging) scans of the themes mind whereas they targeted on the picture.
The tip picture is a end result of a number of components, together with an fMRI picture output and Semantic Decoder which already existed.
Nonetheless, the addition of Steady Diffusion seems to deliver the generated photos extra consistent with the supply as we are able to see under.
The leftmost picture is the unique supply whereas the rightmost picture is the end result of Steady Diffusion, Semantic Decoder, and fMRI picture era. Column z represents the “latent vector” derived from imaging, whereas c represents “conditioning inputs” derived from textual content.
Regardless of not but being peer reviewed, the paper already has some holes, at the least one particular person has identified that using Semantic Decoding is doing the heavy lifting. They additional suggest that using textual content as a part of the immediate undermines the authenticity of the tip consequence as a product of Steady Diffusion.
Semantic Decoding has existed since at the least 2016 and you’ll learn extra about it right here.
What do you assume? Is Steady Diffusion on the chopping fringe of visualizing ideas? Or is it simply an overstated little bit of polish on already present know-how?
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