5 citations · 10 across the 4 of their papers we have counts for
4 papers · 1 filter
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…