2 citations · 3 across the 4 of their papers we have counts for
4 papers
Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images
Liu Yang, Huiyu Duan, Jiarui Wang +5
With the rapid advancement of Artificial Intelligence Generated Content (AIGC) techniques, AI generated images (AIGIs) have attracted widespread attention, among which AI generated…
Perceptual Quality Assessment of Omnidirectional Audio-visual Signals
Xilei Zhu, Huiyu Duan, Yuqin Cao +6
Omnidirectional videos (ODVs) play an increasingly important role in the application fields of medical, education, advertising, tourism, etc. Assessing the quality of ODVs is signi…
AIGCIQA2023: A Large-scale Image Quality Assessment Database for AI Generated Images: from the Perspectives of Quality, Authenticity and Correspondence
Jiarui Wang, Huiyu Duan, Jing Liu +3
In this paper, in order to get a better understanding of the human visual preferences for AIGIs, a large-scale IQA database for AIGC is established, which is named as AIGCIQA2023.…
A-Lamp: Adaptive Layout-Aware Multi-Patch Deep Convolutional Neural Network for Photo Aesthetic Assessment
Shuang Ma, Jing Liu, Chang Wen Chen
Deep convolutional neural networks (CNN) have recently been shown to generate promising results for aesthetics assessment. However, the performance of these deep CNN methods is oft…