Datasets
- Algorithmic Inferencing of Aesthetics and Emotion in Natural Images: An Exposition [pdf] [project page] 2008
- Rule of Thirds Detection from Photograph [pdf][project page] 2011
- Detecting Rule of Simplicity from Photos [pdf] [project page] 2011
- AVA: A Large-Scale Database for Aesthetic Visual Analysis [pdf] 2012
- Content-Based Photo Quality Assessment [pdf] [project page] IEEE Transactions on Multimedia (TMM), 2013
- TAMPERE IMAGE DATABASE 2013(TID2013) [project page] 2013
- An Image is Worth More than a Thousand Favorites:
Surfacing the Hidden Beauty of Flickr Pictures [pdf] [project page] 2015
- Photo Aesthetics Ranking Network with Attributes and Content Adaptation [pdf] [project page] ECCV2016
Survey
- Image Aesthetic Assessment:An Experimental Survey [pdf] 2017
State-of-the-Art
Papers
The papers summarized here are mainly from 2017 onwards.
Please refer to the Survey paper(Image Aesthetic Assessment:An Experimental Survey) before 2016.
- NIMA: Neural Image Assessment [pdf] [code] [project page] 2017
- A-Lamp: Adaptive Layout-Aware Multi-Patch Deep Convolutional Neural
Network for Photo Aesthetic Assessment [pdf] 2017
- Learning Photography Aesthetics with Deep CNNs[pdf] 2017
- Semantic Line Detection and Its Applications [pdf] ICCV2017
- Neural Aesthetic Image Reviewer [pdf] 2018
- Food Image Aesthetic Quality Measurement by Distribution Prediction [pdf] 2018
- USAR: an Interactive User-specific Aesthetic Ranking Framework for Images [pdf] 2018
- Snap Angle Prediction for 360◦ Panoramas [pdf] 2018
- Learning to Understand Image Blur [pdf] CVPR2018
- Good View Hunting: Learning Photo Composition from Dense View Pairs [pdf] [project page] CVPR2018
- Attention-based Multi-Patch Aggregation for
Image Aesthetic Assessment [pdf] [code] [project page] 2018
- Gourmet Photography Dataset for Aesthetic Assessment
of Food Images [pdf] 2018
- An Universal Image Attractiveness Ranking Framework [pdf] 2019
- Composition-Aware Image Aesthetics Assessment [pdf] 2019
- Effective Aesthetics Prediction with Multi-level Spatially Pooled Features [pdf] [code] CVPR2019
Misc
Technical blog
Service and Apps