About Anna Fruehstueck Anna Fruehstueck Ph.D., Computer Science computer graphics visualization computational design procedural modeling machine learning image synthesis Anna Fruehstueck was a Ph. D. candidate under the supervision of Prof. Peter Wonka at King Abdullah University of Science and Technology (KAUST) and successfully defended her PhD in Computer Science on April 17, 2023. Education and Early Career Anna Fruehstueck obtained a Bachelor’s Degree in Media Informatics and Visual Computing from Vienna University of Technology in Austria in 2011. Later on in 2015, she received her M.Sc. degree in Visual Computing from Vienna University of Technology in Austria. During her studies, Anna worked as software developer at SimVis in Vienna, Austria. And in Articles Related News March 2020 KAUST Visual Computing Ph.D. Student wins 2020 Facebook Fellowship Award 3 min read · Wed, Mar 4 2020 News Spotlight Facebook fellowship award Anna Fruehstueck, a Ph.D. student in the KAUST Visual Computing Center (VCC) under the supervision of Professor Peter Wonka, recently won a 2020 Facebook Fellowship award and a two-year fellowship from Facebook Research. July 2019 KAUST Researchers Are the First to Generate Images of Realistic and Highly Detailed Texture Maps of Gigapixel in Size Using Deep Neural Networks 1 min read · Tue, Jul 2 2019 News Deep learning artificial intelligence machine learning 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.
KAUST Visual Computing Ph.D. Student wins 2020 Facebook Fellowship Award 3 min read · Wed, Mar 4 2020 News Spotlight Facebook fellowship award Anna Fruehstueck, a Ph.D. student in the KAUST Visual Computing Center (VCC) under the supervision of Professor Peter Wonka, recently won a 2020 Facebook Fellowship award and a two-year fellowship from Facebook Research.
KAUST Researchers Are the First to Generate Images of Realistic and Highly Detailed Texture Maps of Gigapixel in Size Using Deep Neural Networks 1 min read · Tue, Jul 2 2019 News Deep learning artificial intelligence machine learning 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.
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