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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
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 …
Depth saliency based on anisotropic center-surround difference
Most previous works on saliency detection are dedicated to 2D images. Recently it has been
shown that 3D visual information supplies a powerful cue for saliency analysis. In this paper …
shown that 3D visual information supplies a powerful cue for saliency analysis. In this paper …
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 …
Image aesthetics assessment with attribute-assisted multimodal memory network
Image aesthetics assessment (IAA) has attracted growing interest in recent years but is still
challenging due to its highly abstract nature. Nowadays, more and more people tend to …
challenging due to its highly abstract nature. Nowadays, more and more people tend to …
Depth-aware salient object detection using anisotropic center-surround difference
Most previous works on salient object detection concentrate on 2D images. In this paper, we
propose to explore the power of depth cue for predicting salient regions. Our basic …
propose to explore the power of depth cue for predicting salient regions. Our basic …
The pictures we like are our image: continuous map** of favorite pictures into self-assessed and attributed personality traits
Flickr allows its users to tag the pictures they like as “favorite”. As a result, many users of the
popular photo-sharing platform produce galleries of favorite pictures. This article proposes …
popular photo-sharing platform produce galleries of favorite pictures. This article proposes …
Image aesthetics assessment with emotion-aware multibranch network
The aesthetic and appreciation of an image is the innate human perceptual ability. Emotion,
as one of the most basic human perceptions, has been found to have a close relationship …
as one of the most basic human perceptions, has been found to have a close relationship …
User-guided personalized image aesthetic assessment based on deep reinforcement learning
Personalized image aesthetic assessment (PIAA) has recently become a hot topic due to its
wide applications, such as photography, film, television, e-commerce, fashion design, and …
wide applications, such as photography, film, television, e-commerce, fashion design, and …