Master's Thesis from the year 2018 in the subject Computer Science - Applied, grade: 1,0, RWTH Aachen University (Visual Computing Institute), language: English, abstract: The goal of this thesis is to provide a texture generation approach that works on cellular textures and enables structural modifications when generating a new output exemplar. In the field of computer graphics, two-dimensional textures are an efficient tool to make a virtual scene richer in detail and therefore visually more appealing. Consequently, the perceived quality of a rendered image highly depends on the quality of the used textures. Unfortunately, creating textures by hand is a time-consuming task, which in extreme cases can only be performed by professional artists. On the other hand, the use of real photographs often requires post-processing steps, e.g. to make them tileable so that there are no visual transitions between multiple texture copies covering a large surface. Approaches exist that automatically create new texture variants with different sizes based on a given input sample. However, most of these methods focus on generating output textures that are as similar to the original input as possible, while not allowing for further modifications.