SMHA: A Style-Aware Multi-Scale and Hierarchical Alignment Framework for AIGC Image Quality Assessment
Rapid advances in text-to-image generation have made automatic quality assessment an essential component of model selection, content refinement, and system benchmarking. Unlike conventional distortions in natural images, the quality of artificial intelligence-generated images is jointly affected by visual factors such...