Transformers have recently gained significant attention in the computer vision community.
However, the lack of scalability of self-attention mechanisms with respect to image size has …

Image quality assessment (IQA) is an important research topic for understanding and
improving visual experience. The current state-of-the-art IQA methods are based on …

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 …

Learning computational models of image aesthetics can have a substantial impact on visual
art and graphic design. Although automatic image aesthetics assessment is a challenging …

Challenges in image aesthetics assessment (IAA) arise from that images of different themes
correspond to different evaluation criteria, and learning aesthetics directly from images while …

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

People usually assess image aesthetics according to visual attributes, eg, interesting
content, good lighting and vivid color, etc. Further, the perception of visual attributes …

In this work, we point out that the major dilemma of image aesthetics assessment (IAA)
comes from the abstract nature of aesthetic labels. That is, a vast variety of distinct contents …

Abstract Visual Emotion Analysis (VEA) has attracted increasing attention recently with the
prevalence of sharing images on social networks. Since human emotions are ambiguous …

Research in psychology demonstrates that visual features and semantic content can convey
various emotions. Furthermore, studies have proved that image emotion and aesthetics are …