A deep architecture for unified aesthetic prediction
Image aesthetics has become an important criterion for visual content curation on social
media sites and media content repositories. Previous work on aesthetic prediction models in …
media sites and media content repositories. Previous work on aesthetic prediction models in …
Distribution-oriented aesthetics assessment with semantic-aware hybrid network
Image aesthetics assessment has emerged as a hot topic in recent years due to its potential
in numerous high-level vision applications. In this paper, distinguished from existing studies …
in numerous high-level vision applications. In this paper, distinguished from existing studies …
Personalized image aesthetics
Automatic image aesthetics rating has received a growing interest with the recent
breakthrough in deep learning. Although many studies exist for learning a generic or …
breakthrough in deep learning. Although many studies exist for learning a generic or …
A unified probabilistic formulation of image aesthetic assessment
Image aesthetic assessment (IAA) has been attracting considerable attention in recent years
due to the explosive growth of digital photography in Internet and social networks. The IAA …
due to the explosive growth of digital photography in Internet and social networks. The IAA …
Beyond vision: A multimodal recurrent attention convolutional neural network for unified image aesthetic prediction tasks
Over the past few years, image aesthetic prediction has attracted increasing attention
because of its wide applications, such as image retrieval, photo album management and …
because of its wide applications, such as image retrieval, photo album management and …
Revisiting image aesthetic assessment via self-supervised feature learning
Visual aesthetic assessment has been an active research field for decades. Although latest
methods have achieved promising performance on benchmark datasets, they typically rely …
methods have achieved promising performance on benchmark datasets, they typically rely …
Transductive aesthetic preference propagation for personalized image aesthetics assessment
Personalized image aesthetics assessment (PIAA) aims at capturing individual aesthetic
preference. Fine-tuning on personalized data has been proven to be effective in PIAA task …
preference. Fine-tuning on personalized data has been proven to be effective in PIAA task …
[PDF][PDF] Collaborative and Attentive Learning for Personalized Image Aesthetic Assessment.
The ever-increasing volume of visual images has stimulated the demand for organizing such
data by aesthetic quality. Automatic and especially learning based aesthetic assessment …
data by aesthetic quality. Automatic and especially learning based aesthetic assessment …
Towards transparent deep image aesthetics assessment with tag-based content descriptors
Deep learning approaches for Image Aesthetics Assessment (IAA) have shown promising
results in recent years, but the internal mechanisms of these models remain unclear …
results in recent years, but the internal mechanisms of these models remain unclear …
Photo aesthetics ranking network with attributes and content adaptation
Real-world applications could benefit from the ability to automatically generate a fine-
grained ranking of photo aesthetics. However, previous methods for image aesthetics …
grained ranking of photo aesthetics. However, previous methods for image aesthetics …