Corpus ID: 76661242

Aesthetics of Neural Network Art

@article{Hertzmann2019AestheticsON,
  title={Aesthetics of Neural Network Art},
  author={Aaron Hertzmann},
  journal={ArXiv},
  year={2019},
  volume={abs/1903.05696}
}
  • Aaron Hertzmann
  • Published 2019
  • Computer Science
  • ArXiv
  • 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 visual cues are interesting, and, neural models trained to model natural images are well-suited to creating interesting images. Art using neural models produces new images similar to those of natural images, but with weird and intriguing variations. This analysis is applied to neural art based on Generative Adversarial… CONTINUE READING

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