732 citations · 2.1k across the 26 of their papers we have counts for
4 papers · 1 filter
Visual Indeterminacy in GAN Art
Aaron Hertzmann
This paper explores visual indeterminacy as a description for artwork created with Generative Adversarial Networks (GANs). Visual indeterminacy describes images which appear to dep…
Im2Pencil: Controllable Pencil Illustration from Photographs
Yijun Li, Chen Fang, Aaron Hertzmann +2
We propose a high-quality photo-to-pencil translation method with fine-grained control over the drawing style. This is a challenging task due to multiple stroke types (e.g., outlin…
Aesthetics of Neural Network Art
Aaron Hertzmann
This paper proposes a way to understand neural network artworks as juxtapositions of natural image cues. It is hypothesized that images with unusual combinations of realistic visua…
LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators
Jianan Li, Jimei Yang, Aaron Hertzmann +2
Layout is important for graphic design and scene generation. We propose a novel Generative Adversarial Network, called LayoutGAN, that synthesizes layouts by modeling geometric rel…