When Image Quality and Prompt Alignment Diverge: A Secondary Analysis of AGIQA-3K

Authors

  • Anthony Barnes Author
  • Jeffrey Green Author
  • Calvin Robertson Author

Abstract

AGIQA-3K gives two judgments for the same generated images: perceptual quality and alignment with the prompt. Across 2,982 released records their Pearson correlation is 0.814, but the quality-on-alignment slope falls from 0.813 to 0.530 after accounting for generation condition and prompt attributes. Twenty-four images also occupy opposite outer quartiles of the two rankings. The outcomes are strongly related without being interchangeable. A regression analysis of these public scores clarifies what evidence motivates separate quality and semantic assessments, while leaving the performance of any particular two-stream model to direct testing.

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Published

2026-09-19

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Vol. 2 (2026): Archive issue of 2026-09-19

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Copyright (c) 2026 Anthony Barnes, Jeffrey Green, Calvin Robertson

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This work is licensed under a Creative Commons Attribution 4.0 International License.