In this paper, a new box-counting method to achieve a highly specific topological
fingerprinting of architecture in relation to the position of the observer and in the context of its …

This paper introduces a computational aesthetics framework utilizing computer vision (CV)
and artificial neural networks (ANN) to predict the aesthetic preferences of groups of people …

A computational framework is proposed to quantify the aesthetic experience of perceiving
architecture. This framework is used as the criterion for navigating a design solution space …

Generative Adversarial Network (GAN) models produce a latent space where many new
images emerge. These models translate vectors from a latent space of possible designs into …

In this paper, a new box-counting method to achieve a highly specific topological
fingerprinting of architecture in relation to the position of the observer and in the context of its …