In the field of literature, there is an established set of techniques that have been successfully
leveraged in the statistical analysis of literary style, most often to answer questions of …

Diffusion models have fundamentally transformed the field of generative models, making the
assessment of similarity between customized model outputs and reference inputs critically …

Generative models are now widely used by graphic designers and artists. Prior works have
shown that these models remember and often replicate content from their training data …

Curvilinearity is a perceptual feature that robustly predicts preference ratings for a variety of
visual stimuli. The predictive effect of curved/angular shape overlaps, to a large degree, with …

The Encyclopedia of Image Processing presents a vast collection of well-written articles
covering image processing fundamentals (eg color theory, fuzzy sets, cryptography) and …

Multiscale representations of images have become a standard tool in image analysis. Such
representations offer a number of advantages over fixed-scale methods, including the …

How do representations of the face in portraits relate to the natural face, and how does the
aesthetics of portraits relate to the aesthetics of faces in photographs? Here we investigate …

Human artefacts in general are highly structured and often display ordering principles such
as translational, reflectional or rotational symmetry. In contrast, human artefacts that are …

Most studies on the perception of style have used whole scenes/entire paintings; in our
study, we isolated a single motif (an apple) to reduce or even eliminate the influence of …

In recent years, scholars pay more and more attention to the understanding and analysis of
visual art style. This paper is based on Sparse Coding on visual art works, which brings out …