[D] Deep structural causal models

Can anyone explain the paper deepscm [link](https://arxiv.org/abs/2006.06485). I am trying struggling to understand what's actually happening in the paper.


So what I understood is given a image their are calculating a p(z) using normalising flows then some how they generated variables called intensity and thickness for the mnist dataset and have data for it

Now assuming their are a couple of functionals the generate our data using this variables you can generate data.

After that I didn't understand anything

How …

data dataset generated image machinelearning mnist variables