1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2024
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…
cs.CV2024★ 1 cited
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…