notesum.ai

Published at November 25

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity

cs.CV

Released Date: November 25, 2024

Authors: Jili Xia¹, Lihuo He¹, Fei Gao², Kaifan Zhang¹, Leida Li³, Xinbo Gao⁴

Aff.: ¹School of Electronic Engineering, Xidian University, Xi'an, China; ²Hangzhou Institute of Technology, Xidian University, Xi'an, China; ³School of Artificial Intelligence, Xidian University, Xi'an, China; ⁴School of Electronic Engineering, Xidian University, Xi'an, China; Chongqing University of Posts and Telecommunications, Chongqing, China

Arxiv: http://arxiv.org/abs/2411.16087v1

Explanation	Notation
Image feature	$F_{I_{r}}$
Patch feature	$F_{P_{i}}$ , $i\in\left\{1,2,\cdots,N\right\}$ indexes the patch
Word feature	$F_{W_{k}}$ , $k\in\left\{1,2,\cdots,K\right\}$ indexes the word of the initial prompt
Task-specific prompt feature	$F_{{T_{ts}}_{j}}$ , $j\in\left\{1,2,\cdots,L\right\}$ indexes the quality level of the image