Adaptive Mixed-Scale Feature Fusion Network for Blind AI-Generated Image Quality Assessment

arXiv:2404.15163v1 Announce Type: new
Abstract: With the increasing maturity of the text-to-image and image-to-image generative models, AI-generated images (AGIs) have shown great application potential in advertisement, entertainment, education, social media, etc. Although remarkable advancements have been achieved in generative models, very few efforts have been paid to design relevant quality assessment models. In this paper, we propose a novel blind image quality assessment (IQA) network, named AMFF-Net, for AGIs. AMFF-Net evaluates AGI quality from three dimensions, i.e., "visual quality", "authenticity", …

abstract advertisement ai-generated image ai-generated images application arxiv assessment blind cs.cv design education eess.iv entertainment etc feature fusion generated generative generative models image images image-to-image media mixed network quality scale social social media text text-to-image type