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2025JournalPublished

Global-Local Image Perceptual Score (GLIPS): Evaluating Photorealistic Quality of AI-Generated Images

M. Aziz, U. Rehman, M. U. Danish, and K. Grolinger

IEEE Transactions on Human-Machine Systems · Vol. 55, No. 2, pp. 223-233

Publisher record
Research contribution

Overview

Introduces a perceptual score that combines global and local evidence to evaluate the photorealistic quality of AI-generated images.

Research context

This work contributes to Generative AI Evaluation. The publication record above is the authoritative source for its current status; accepted papers will be updated when final bibliographic metadata becomes public.

BibTeX

@article{Glips2025,
  title = {Global-Local Image Perceptual Score (GLIPS): Evaluating Photorealistic Quality of AI-Generated Images},
  author = {M. Aziz, U. Rehman, M. U. Danish,, K. Grolinger},
  year = {2025},
  journal = {IEEE Transactions on Human-Machine Systems},
  doi = {10.1109/THMS.2025.3527397}
}