Image Aesthetic Assessment

Some papers about image aesthetic assessment (图像美感评估), know more about them here.

Surveys

• Algorithmic Inferencing of Aesthetics and Emotion in Natural Images: An Exposition. Ritendra Datta, Jia Li, and James Z. Wang. ICIP 2008. [Paper]

• On Aesthetics and Emotions in Images: A Computational Perspective. Dhiraj Joshi, et al. IEEE Signal Processing Magazine 2011. [IEEE] [Paper]

• Aesthetic Analysis of Images. 2015. [Report]

• Image Aesthetic Assessment: An Experimental Survey. Yubin Deng, et al. IEEE Signal Processing Magazine 2017. [IEEE] [arxiv]

• A Report: Image Aesthetic Assessment. Chunbiao Zhu. 2018. [Report]

Datasets

• Photo.net & DPChallenge

  Algorithmic Inferencing of Aesthetics and Emotion in Natural Images: An Exposition. Ritendra Datta, Jia Li, and James Z. Wang. ICIP 2008. [Paper]

• CUHK-PQ

  Content-based Photo Quality Assessment. Wei Luo, Xiaogang Wang, and Xiaoou Tang. ICCV 2011. [IEEE] [Paper]

  Content-based Photo Quality Assessment. Xiaoou Tang, Wei Luo, and Xiaogang Wang. TMM 2013. [IEEE] [Paper]

• AVA

  AVA: A Large-Scale Database for Aesthetic Visual Analysis. Naila Murray, Luca Marchesotti, Florent Perronnin. CVPR 2012. [IEEE] [Paper] [Dataset]

• AADB

  Photo Aesthetics Ranking Network with Attributes and Content Adaptation. Shu Kong, et al. ECCV 2016. [arxiv] [Project] [Code] [Dataset & Model]

• PCCD

  Aesthetic Critiques Generation for Photos. Kuang-Yu Chang, Kung-Hung Lu, and Chu-Song Chen. ICCV 2017. [IEEE] [Paper] [Code]

• DPC-Caption

  Aesthetic Attributes Assessment of Images. Xin Jin, et al. ACM MM 2019. [arxiv] [Dataset]

• AROD

  Will People Like Your Image? Learning the Aesthetic Space. Katharina Schwarz, Patrick Wieschollek, and Hendrik P. A. Lensch. WACV 2018. [arxiv] [Code & Dataset]

• GPA

  Gourmet Photography Dataset for Aesthetic Assessment of Food Images. Kekai Sheng, et al. SIGGRAPH 2018. [Dataset]

Approaches

Machine Learning

Global Features

• Classification of Digital Photos Taken by Photographers or Home Users. Hanghang Tong, et al. PCM 2004. [Paper]

• Studying Aesthetics in Photographic Images Using a Computational Approach. Ritendra Datta, et al. ECCV 2006. [Paper]

• The Design of High-Level Features for Photo Quality Assessment. Yan Ke, Xiaoou Tang, Feng Jing. CVPR 2006. [Paper]

Foreground and Background

• Photo and Video Quality Evaluation: Focusing on the Subject. Yiwen Luo and Xiaoou Tang. ECCV 2008. [Paper]

• Saliency-enhanced Image Aesthetics Class Prediction. Lai-Kuan Wong, Kok-Lim Low. ICIP 2009. [IEEE] [Paper]

• A Framework for Photo-quality Assessment and Enhancement Based on Visual Aesthetics. Subhabrata Bhattacharya, et al. ACM MM 2010. [Paper]

  A Holistic Approach to Aesthetic Enhancement of Photographs. Subhabrata Bhattacharya, et al. TOMCCAP 2011. [Paper]

Regional Features

• Aesthetic Quality Classification of Photographs Based on Color Harmony. Masashi Nishiyama, et al. CVPR 2011. [Paper]

• Assessing the Aesthetic Quality of Photographs Using Generic Image Descriptors. Luca Marchesotti, et al. ICCV 2011. [IEEE] [Paper]

• A Statistic Approach for Photo Quality Assessment. Li-Yun Lo, et al. ISIC 2012. [IEEE] [Paper]

Deep Learning

Classification

Multi-column CNN

• RAPID: Rating Pictorial Aesthetics Using Deep Learning. Xin Lu, et al. ACM MM 2014. [Paper]

Rating Image Aesthetics Using Deep Learning. Xin Lu, et al. TMM 2015. [IEEE] [Paper]

• Deep Multi-Patch Aggregation Network for Image Style, Aesthetics, and Quality Estimation. Xin Lu, et al. ICCV 2015. [IEEE] [Paper]

• A-Lamp: Adaptive Layout-Aware Multi-Patch Deep Convolutional Neural. Shuang Ma, et al. CVPR 2017. [Paper] [arxiv]

• Attention-based Multi-Patch Aggregation for Image Aesthetic Assessment. Kekai Sheng, et al. ACM MM 2018. [Paper] [Code]

• Brain-Inspired Deep Networks for Image Aesthetics Assessment. Zhangyang Wang, et al. arXiv 2016. [arxiv]

• Composition-preserving Deep Photo Aesthetics Assessment. Long Mai, et al. CVPR 2016. [IEEE] [Paper] [Project]

Multi-task CNN

• Deep Aesthetic Quality Assessment with Semantic Information. Yueying Kao, Ran He, and Kaiqi Huang. TIP 2017. [IEEE] [arxiv]

• Hierarchical Aesthetic Quality Assessment Using Deep Convolutional Neural Networks. Yueying Kao, Kaiqi Huang, and Steve Maybank. Signal Processing: Image Communication 2016. [Paper]

• Visual Aesthetic Quality Assessment with Multi-task Deep Learning. Yueying Kao, Ran He, and Kaiqi Huang. arXiv 2016. [Paper]

• Photo Aesthetics Ranking Network with Attributes and Content Adaptation. Shu Kong, et al. ECCV 2016. [arxiv] [Project] [Code] [Dataset & Model]

DBM

• Joint Image and Text Representation for Aesthetics Analysis. Ye Zhou, et al. ACM MM 2016. [Paper]

Score Distribution

• NIMA: Neural Image Assessment in Keras. Hossein Talebi and Peyman Milanfar. TIP 2018. [arxiv] [Blog] [Code (Reproduction)]

• Predicting Aesthetic Score Distribution through Cumulative Jensen-Shannon Divergence. Xin Jin, et al. AAAI 2018. [Paper] [Code]

Aesthetic Caption

• Aesthetic Critiques Generation for Photos. Kuang-Yu Chang, Kung-Hung Lu, and Chu-Song Chen. ICCV 2017. [IEEE] [Paper] [Code]

• Aesthetic Attributes Assessment of Images. Xin Jin, et al. ACM MM 2019. [arxiv] [Dataset]

• Neural Aesthetic Image Reviewer. Wenshan Wang, et al. IET Computer Vision 2019. [arxiv]

• Aesthetic Image Captioning From Weakly-Labelled Photographs. Koustav Ghosal, Aakanksha Rana, and Aljosa Smolic. ICCV 2019. [Paper] [Code]