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Doctoral thesis on generative models as regularizers for inverse problems in imaging

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Generative Models as Regularizers for Inverse Problems in Imaging

This thesis encompasses largely the two articles:

  • "Stable Deep MRI Reconstruction using Generative Priors"

  • "Product of Gaussian Mixture Diffusion Models"

The source code needs to be compiled with lualatex and uses the tikz externalization library for parallel processing and caching of figures. Thus, compilation looks something like this:

# first latexmk run, populates `main.makefile` with code to produce figures
latexmk -shell-escape -lualatex main.tex 
# make figures
make -j -f main.makefile
# second latexmk run
latexmk -shell-escape -lualatex main.tex 

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