Generating surface topography of paperboard using diffusion models
This thesis uses the unsupervised deep learning method of generative diffusion models to generate images of paperboard surfaces. As the images are intended to be used as input to various simulations by food packaging company Tetra Pak, simply looking at them is not sufficient to determine their quality. For this reason, some new evaluation metrics, specific to paperboard images, are proposed and u