Deep learning approaches to pattern extraction and recognition in paintings and drawings: an overview

Abstract This paper provides an overview of some the most relevant deep learning approaches to pattern extraction and recognition in visual arts, particularly painting drawing. Recent advances computer vision, coupled with growing availability large digitized art collections, have opened new opportunities for science researchers assist community automatic tools analyse further understand arts. Among other benefits, a deeper understanding arts has potential make them more accessible wider population, ultimately supporting spread culture.