Abstract: Controllable generation in StyleGANs is usually achieved by training the model using labeled data. For audio textures, however, there is currently a lack of large semantically labeled ...

Abstract: In this paper, we propose a method for defending against audio adversarial examples that operates by applying audio style transfer learning. The proposed method has the effect of maintaining ...

It doesn’t choose subjects. It never tells you what to do with the canvas. All it does is this: You slide in your old work—finished canvases, abandoned panels, primed boards with ghosts of sketches ...