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 …
High level describable attributes for predicting aesthetics and interestingness
With the rise in popularity of digital cameras, the amount of visual data available on the web
is growing exponentially. Some of these pictures are extremely beautiful and aesthetically …
is growing exponentially. Some of these pictures are extremely beautiful and aesthetically …
The design of high-level features for photo quality assessment
We propose a principled method for designing high level features forphoto quality
assessment. Our resulting system can classify between high quality professional photos and …
assessment. Our resulting system can classify between high quality professional photos and …
Photo and video quality evaluation: Focusing on the subject
Y Luo, X Tang - Computer Vision–ECCV 2008: 10th European …, 2008 - Springer
Traditionally, distinguishing between high quality professional photos and low quality
amateurish photos is a human task. To automatically assess the quality of a photo that is …
amateurish photos is a human task. To automatically assess the quality of a photo that is …
Content-based photo quality assessment
Automatically assessing photo quality from the perspective of visual aesthetics is of great
interest in high-level vision research and has drawn much attention in recent years. In this …
interest in high-level vision research and has drawn much attention in recent years. In this …
Content-based photo quality assessment
Automatically assessing photo quality from the perspective of visual aesthetics is of great
interest in high-level vision research and has drawn much attention in recent years. In this …
interest in high-level vision research and has drawn much attention in recent years. In this …
Aesthetic visual quality assessment of paintings
This paper aims to evaluate the aesthetic visual quality of a special type of visual media:
digital images of paintings. Assessing the aesthetic visual quality of paintings can be …
digital images of paintings. Assessing the aesthetic visual quality of paintings can be …
Adaptive fractional dilated convolution network for image aesthetics assessment
To leverage deep learning for image aesthetics assessment, one critical but unsolved issue
is how to seamlessly incorporate the information of image aspect ratios to learn more robust …
is how to seamlessly incorporate the information of image aspect ratios to learn more robust …
Attention-based multi-patch aggregation for image aesthetic assessment
Aggregation structures with explicit information, such as image attributes and scene
semantics, are effective and popular for intelligent systems for assessing aesthetics of visual …
semantics, are effective and popular for intelligent systems for assessing aesthetics of visual …