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Found 3 papers, 2 papers with code
Improved ArtGAN for Conditional Synthesis of Natural Image and Artwork
Qualitatively, we demonstrate that ArtGAN is able to generate plausible-looking images on Oxford-102 and CUB-200, as well as able to draw realistic artworks based on style, artist, and genre.
ArtGAN: Artwork Synthesis with Conditional Categorical GANs
This paper proposes an extension to the Generative Adversarial Networks (GANs), namely as ARTGAN to synthetically generate more challenging and complex images such as artwork that have abstract characteristics.
An Analysis on Selection for High-Resolution Approximations in Many-Objective Optimization
This work studies the behavior of three elitist multi- and many-objective evolutionary algorithms generating a high-resolution approximation of the Pareto optimal set.
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