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The automation of floor plan interpretation and reconstruction is a key challenge in architectural visualization workflows, particularly when handling heterogeneous, real world data. This thesis project investigates the use of deep learning–based semantic segmentation combined with geometry-aware postprocessing to automate the extraction of structural elements from floor plan images. The work is m
