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1. 1. Learning Geometry Compatibility with 3D Convolutional Neural Networks

   Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :Florian Stellbrink; [2019-10-04]
   Nyckelord :computer science; computer graphics; machine learning; geometry; voxel; thesis;

   Sammanfattning : Modern video games offer substantial amounts of customization options. Manually testing the visual compatibility of all options is time-consuming and error-prone. Together with Ghost Games, we present a method of learning the visual compatibility between pairs of geometries. LÄS MER