does this crap blow anyone else's mind? imo bayesian neural networks are the coolest thing since sliced bread.
>Having recovered the latent manifold and assigned it a coordinate system, it becomes trivial to walk from one point to another along the manifold, creatively generating realistic digits all the while
blog.fastforwardlabs.com
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no, but im mentally handicapped so i dont rly understand it tbqh
What is this?
it's the process of using neural networks to uncover the latent manifold on which some collection of data lies, once you have said manifold you can do things like hop around on it and sample fake data that closely resembles real data.
for example, here are some generated images of bedrooms from a bedroom manifold.
and here's a paper that improves superresolution techniques by projecting an enhanced image onto a manifold of natural images
arxiv.org
This isn't new though, dimension reduction via manifolds been around for more than a decade. Isomap/SE are well studied and based in theory, rather than black boxes too.
It's never worked this well before to my knowledge.
faking images has never been so easy
dont you have this pic in lower resolution m8 I can still see parts of your point..
Whad. How does knowledge that it's a manifold help? Manifold isn't some magic word, lol, it's just a type of a topological space.
By manifold they just mean some arguably continuous subset of pixel space which is just [math]\mathbb{R}^n[/math] for some large n depending on the width and height of your images. The neural network parameterizes this space via optimization of a generative network and a discriminator network over your dataset so that crap like random noise is not on it but nice pictures of bedrooms are.