AGI Quality

Assessing the quality of AI-generated images (AGIs) is a burgeoning research area focused on developing objective metrics that align with human perception. Current efforts concentrate on creating comprehensive datasets of AGIs with associated human ratings, and designing novel assessment models that consider multiple dimensions of quality, such as visual fidelity, authenticity, and consistency with textual prompts. These advancements are crucial for improving AGI generation techniques and ensuring the reliability of AI-generated content across various applications, from entertainment to education.