Assessing the aesthetics of an image is challenging, as it is influenced by multiple factors
including composition, color, style, and high-level semantics. Existing image aesthetic …

Computational image aesthetic evaluation is a computable human aesthetic perception and
judgment realized by machines, which has a significant impact on a variety of applications …

Abstract Design intelligence is an important branch of artificial intelligence (AI), focusing on
the intelligent models and algorithms in creativity and design. In the context of AI 2.0, studies …

Computational inference of aesthetics is an ill-defined task due to its subjective nature. Many
datasets have been proposed to tackle the problem by providing pairs of images and …

As an alternative to expensive expert evaluation, Image Aesthetic Assessment (IAA) stands
out as a crucial task in computer vision. However, traditional IAA methods are typically …

Assessing visual aesthetics has important applications in several domains, from image
retrieval and recommendation to enhancement. Modern aesthetic quality predictors are data …

Image composition assessment is crucial in aesthetic assessment, which aims to assess the
overall composition quality of a given image. However, to the best of our knowledge, there is …

With the emergence of Artificial Intelligence (AI) 2.0, computers are now equipped with new
creative capabilities and are playing an increasingly significant role in design. The use of AI …

Computational image aesthetics aims at designing algorithmic approaches to perform
aesthetic decisions, in a similar fashion as humans. In the past fifteen years, computational …

Image aesthetic quality assessment has demonstrated tremendous success in variety of
application domains in recent years. This field has been growing so rapidly that various …