732 citations · 2.1k across the 26 of their papers we have counts for
Showing 2019 · cs.CVShow all
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cs.CV2019★ 32 cited
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…
cs.CV2019★ 3 cited
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…
cs.CV2019★ 31 cited
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…