Creative Adversarial Networks for Art Generation with Ahmed Elgammal - TWiML Talk #265
Analysis
This article summarizes a podcast episode featuring Ahmed Elgammal, a professor and director of The Art and Artificial Intelligence Lab. The discussion centers on AICAN, a creative adversarial network developed by Elgammal's team. AICAN is designed to generate original portraits by learning from a vast dataset of European canonical art spanning over 500 years. The article highlights the innovative application of AI in the art world, specifically focusing on the creation of original artwork rather than simply replicating existing styles. The reference to the podcast episode suggests a deeper dive into the technical aspects and implications of this research.
Key Takeaways
“We discuss his work on AICAN, a creative adversarial network that produces original portraits, trained with over 500 years of European canonical art.”