Art Creation with Multi-Conditional StyleGANs

1 code implementation • 23 Feb 2022 • Konstantin Dobler, Florian Hübscher, Jan Westphal, Alejandro Sierra-Múnera, Gerard de Melo, Ralf Krestel

Our approach is based on the StyleGAN neural network architecture, but incorporates a custom multi-conditional control mechanism that provides fine-granular control over characteristics of the generated paintings, e. g., with regard to the perceived emotion evoked in a spectator.

Generative Adversarial Network