Expanding artistic frontiers in artificial intelligence

Dr. Mohammed Elhoseiny, assistant professor of computer science at KAUST, has carved a career out of teaching machines the art of creating art. After finishing his doctoral degree at Rutgers University in 2016, Elhoseiny went on to work for Adobe Research, Baidu Research, Facebook and now KAUST. His latest research paper, Creative Walk Adversarial Networks: Novel Art Generation with Probabilistic Random Walk Deviation from Style Norms, was accepted at the premiere conference on computational creative artificial intelligence (AI), the International Conference on Computational Creativity (ICCC) 2022. The paper covers the work of Elhoseiny and his team VISION CAIR on the use of Creative Walk Adversarial Networks (CWAN) for novel, or original, art generation. CWAN learns about existing art styles in its training by being exposed to a large repository of paintings from various art movements and styles, from 5000 years ago to present times.