Leonardo-lyh / Image-Aesthetics-Papers

"One of the most intriguing problems is to understand the precise nature of time, especially with regard to the big bang, the big crunch and the long-term future of an open universe."― Jamal Nazrul Islam

Image Aesthetics Papers

• Image Aesthetic Assessment: An Experimental Survey
• A-Lamp: Adaptive Layout-Aware Multi-Patch Deep Convolutional Neural Network for Photo Aesthetic Assessment
• Learning Photography Aesthetics with Deep CNNs
• NIMA: Neural Image Assessment
• Neural Aesthetic Image Reviewer
• Snap Angle Prediction for 360^o Panoramas
• An Universal Image Attractiveness Ranking Framework
• USAR: an Interactive User-specific Aesthetic Ranking Framework for Images
• Effective Aesthetics Prediction with Multi-level Spatially Pooled Features
• Composition-Aware Image Aesthetics Assessment
• Attention-based Multi-Patch Aggregation for Image Aesthetic Assessment
• Gourmet Photography Dataset for Aesthetic Assessment of Food Images
• Good View Hunting: Learning Photo Composition from Dense View Pairs
• Food Image Aesthetic Quality Measurement by Distribution Prediction
• Detecting Rule of Simplicity from Photos
• Learning to Understand Image Blur
• Algorithmic inferencing of aesthetics and emotion in natural images: An exposition
• Photo Aesthetics Ranking Network with Attributes and Content Adaptation
• An Image is Worth More than a Thousand Favorites: Surfacing the Hidden Beauty of Flickr Pictures
• Rule of Thirds Detection from Photograph
• Semantic Line Detection and Its Applications
• AVA: A Large-Scale Database for Aesthetic Visual Analysis
• Content-Based Photo Quality Assessment