56 citations · 66 across the 5 of their papers we have counts for
5 papers
PKU-AIGIQA-4K: A Perceptual Quality Assessment Database for Both Text-to-Image and Image-to-Image AI-Generated Images
Jiquan Yuan, Fanyi Yang, Jihe Li +4
In recent years, image generation technology has rapidly advanced, resulting in the creation of a vast array of AI-generated images (AIGIs). However, the quality of these AIGIs is…
TIER: Text-Image Encoder-based Regression for AIGC Image Quality Assessment
Jiquan Yuan, Xinyan Cao, Jinming Che +5
Recently, AIGC image quality assessment (AIGCIQA), which aims to assess the quality of AI-generated images (AIGIs) from a human perception perspective, has emerged as a new topic i…
PSCR: Patches Sampling-based Contrastive Regression for AIGC Image Quality Assessment
Jiquan Yuan, Xinyan Cao, Linjing Cao +2
In recent years, Artificial Intelligence Generated Content (AIGC) has gained widespread attention beyond the computer science community. Due to various issues arising from continuo…
PKU-I2IQA: An Image-to-Image Quality Assessment Database for AI Generated Images
Jiquan Yuan, Xinyan Cao, Changjin Li +3
As image generation technology advances, AI-based image generation has been applied in various fields and Artificial Intelligence Generated Content (AIGC) has garnered widespread a…
Multimodal Affective States Recognition Based on Multiscale CNNs and Biologically Inspired Decision Fusion Model
Yuxuan Zhao, Xinyan Cao, Jinlong Lin +2
There has been an encouraging progress in the affective states recognition models based on the single-modality signals as electroencephalogram (EEG) signals or peripheral physiolog…