PCQA: A Strong Baseline for AIGC Quality Assessment Based on Prompt Condition

arXiv:2404.13299v1 Announce Type: new
Abstract: The development of Large Language Models (LLM) and Diffusion Models brings the boom of Artificial Intelligence Generated Content (AIGC). It is essential to build an effective quality assessment framework to provide a quantifiable evaluation of different images or videos based on the AIGC technologies. The content generated by AIGC methods is driven by the crafted prompts. Therefore, it is intuitive that the prompts can also serve as the foundation of the AIGC quality assessment. This …

abstract aigc artificial artificial intelligence arxiv assessment boom build cs.cv development diffusion diffusion models evaluation framework generated images intelligence language language models large language large language models llm prompt quality type videos