a visual representation of Stable Diffusion neural network weights
transformer self - attention neural networks prefer to operate in frequency s...
transformer self - attention neural networks prefer to operate in frequency space because relationship between concepts is smoother in that transformation. here is the output of a neural radiance field 3 d inverse diffusion model which was asked to visualize this effect. the intuition is shockingly well conveyed, this will likely help with communicating the intuition to human vision systems as well.
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