Image aesthetic assessment: An experimental survey
This article reviews recent computer vision techniques used in the assessment of image
aesthetic quality. Image aesthetic assessment aims at computationally distinguishing high …
aesthetic quality. Image aesthetic assessment aims at computationally distinguishing high …
Artificial neural networks and deep learning in the visual arts: A review
I Santos, L Castro, N Rodriguez-Fernandez… - Neural Computing and …, 2021 - Springer
In this article, we perform an exhaustive analysis of the use of Artificial Neural Networks and
Deep Learning in the Visual Arts. We begin by introducing changes in Artificial Intelligence …
Deep Learning in the Visual Arts. We begin by introducing changes in Artificial Intelligence …
Personality-assisted multi-task learning for generic and personalized image aesthetics assessment
Traditional image aesthetics assessment (IAA) approaches mainly predict the average
aesthetic score of an image. However, people tend to have different tastes on image …
aesthetic score of an image. However, people tend to have different tastes on image …
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 …
In pursuit of beauty: Aesthetic-aware and context-adaptive photo selection in crowdsensing
The pervasive view of the mobile crowd bridges various real-world scenes and people's
perceptions with the gathering of distributed crowdsensing photos. To elaborate informative …
perceptions with the gathering of distributed crowdsensing photos. To elaborate informative …
Distilling knowledge from object classification to aesthetics assessment
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 …
comes from the abstract nature of aesthetic labels. That is, a vast variety of distinct contents …
A cascaded convolutional neural network for single image dehazing
Images captured under outdoor scenes usually suffer from low contrast and limited visibility
due to suspended atmospheric particles, which directly affects the quality of photographs …
due to suspended atmospheric particles, which directly affects the quality of photographs …
A gated peripheral-foveal convolutional neural network for unified image aesthetic prediction
Learning fine-grained details is a key issue in image aesthetic assessment. Most of the
previous methods extract the fine-grained details via random cropping strategy, which may …
previous methods extract the fine-grained details via random cropping strategy, which may …
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 …
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 …