Search Results for author: Memoona Aziz

Found 1 papers, 0 papers with code

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

no code implementations15 May 2024 Memoona Aziz, Umair Rehman, Muhammad Umair Danish, Katarina Grolinger

This paper introduces the Global-Local Image Perceptual Score (GLIPS), an image metric designed to assess the photorealistic image quality of AI-generated images with a high degree of alignment to human visual perception.

Image Generation MS-SSIM +1

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