This paper provides an overview of some of the most relevant deep learning approaches to pattern extraction and recognition in visual arts, particularly painting and drawing. Recent …
The style of an image plays a significant role in how it is viewed, but style has received little attention in computer vision research. We describe an approach to predicting style of …
The increasing availability of large digitized fine art collections opens new research perspectives in the intersection of artificial intelligence and art history. Motivated by the …
“Ceci n'est pas une pipe” French for “This is not a pipe”. This is the description painted on the first painting in the figure above. But to most of us, how could this painting is not a pipe …
There is no end of talk and of wondering about'art'and'the arts.'This book examines a number of questions about the arts (broadly defined to include all of the arts). Some of these …
How does the machine classify styles in art? And how does it relate to art historians' methods for analyzing style? Several studies showed the ability of the machine to learn and …
R Yi, H Tian, Z Gu, YK Lai… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Image aesthetics assessment (IAA) is a challenging task due to its highly subjective nature. Most of the current studies rely on large-scale datasets (eg, AVA and AADB) to learn a …
Abstract Southeast Asia, with Indonesia at its core, was the epicentre of the most extraordinary expansion of global trade ever witnessed along the Maritime Silk Route. But …
Due to the digitization of fine art collections, pictures of fine art objects stored at museums and art galleries became widely available to the public. It created a demand for efficient …