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Hi @ProGamerGov, I've been digging around quite a lot lately to understand the significance of -use_fft. I'm trying to implement it myself on my own feature visualization library.
What I got to know from your README.md is that it enables Fast Fourier transform (FFT) decorrelation. After cloning your repo and adding in some print statements, I'm guessing that it is being used on a tensor that has the shape corresponding to the number of channels of the layer selected by the user.
But I'm yet to understand what it exactly does.
Any help is welcome :)
The text was updated successfully, but these errors were encountered:
@Mayukhdeb So, neural-dream's FFT decorrelation doesn't actually do decorrelation. I mistakenly made it alter the frequencies instead.
My dream-creator project has fully functional decorrelation modules, and I would recommend referring to it regarding features. It also has improved versions of other neural-dream features as well.
@ProGamerGov Thank you so much for your help! I'll surely drop a message if I need some more help with this :)
I'm working on torch-dreams. It aims to be like lucid in terms of quality, but also super flexible and easier to use so that the community can use it on any model they want to
Hi @ProGamerGov, I've been digging around quite a lot lately to understand the significance of
-use_fft
. I'm trying to implement it myself on my own feature visualization library.What I got to know from your README.md is that it enables Fast Fourier transform (FFT) decorrelation. After cloning your repo and adding in some print statements, I'm guessing that it is being used on a tensor that has the shape corresponding to the number of channels of the layer selected by the user.
But I'm yet to understand what it exactly does.
Any help is welcome :)
The text was updated successfully, but these errors were encountered: