This repository contains the assignment solutions for the Machine Learning for 3D Geometry (ML43D) course at Technical University of Munich (TUM). The lecture aims to explore state-of-the-art algorithms for both supervised and unsupervised machine learning on 3D data, for both analysis and synthesis of 3D shapes and scenes.
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Assignment solutions for the Machine Learning for 3D Geometry (ML43D) course at TUM
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