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Found 3 papers, 1 papers with code
The Enigma of Complexity
We apply a series of different complexity measures to three different generative art datasets and look at the correlations between complexity and individual aesthetic judgement by the artist (in the case of two datasets) or the physically measured complexity of 3D forms.
Deep Learning of Individual Aesthetics
Accurate evaluation of human aesthetic preferences represents a major challenge for creative evolutionary and generative systems research.
Understanding Aesthetic Evaluation using Deep Learning
A bottleneck in any evolutionary art system is aesthetic evaluation.
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