This article reviews recent computer vision techniques used in the assessment of image
aesthetic quality. Image aesthetic assessment aims at computationally distinguishing high …

Layout generation, as a crucial stage in Artificial Intelligence-Generated Content (AIGC) task
information presentation generation, is a fascinating and significant research topic …

Effective visual features are essential for computational aesthetic quality rating systems.
Existing methods used machine learning and statistical modeling techniques on handcrafted …

Photo aesthetics assessment is challenging. Deep convolutional neural network (ConvNet)
methods have recently shown promising results for aesthetics assessment. The performance …

Deep convolutional neural networks (CNN) have recently been shown to generate
promising results for aesthetics assessment. However, the performance of these deep CNN …

We propose a novel automatic salient object segmentation algorithm which integrates both
bottom-up salient stimuli and object-level shape prior, ie, a salient object has a well-defined …

In this tutorial, we define and discuss key aspects of the problem of computational inference
of aesthetics and emotion from images. We begin with a background discussion on …

In this paper, we automatically assess the aesthetic properties of images. In the past, this
problem has been addressed by hand-crafting features which would correlate with best …

This paper investigates unified feature learning and classifier training approaches for image
aesthetics assessment. Existing methods built upon handcrafted or generic image features …

Deep learning approaches for Image Aesthetics Assessment (IAA) have shown promising
results in recent years, but the internal mechanisms of these models remain unclear …