KAUST researchers Anna Fruehstueck, Dr. Ibraheem Alhashim, and Prof. Peter Wonka have developed a novel technique to generate images of realistic and highly detailed texture maps using deep neural networks. The texture images synthesized by their system TileGAN can be of gigapixel size and are created by seamlessly merging smaller texture blocks into a single large image. The underlying neural networks are trained using high-resolution images such as detailed satellite imagery, maps and famous paintings.
Algal blooms in the Red Sea can be detected with a new method that accounts for dust storms and aerosols.
Robert completed his PhD (Dr. rer. nat.) in computer science in 2009 at the University of Leipzig and the Max Planck Institute of Evolutionary Anthropology. He worked as postdoc at the European Bioinformatics Institute, University of Cambridge, and Aberystwyth University before joining KAUST in 2014.