Harnessing the Power of Large Vision Language Models for Synthetic Image Detection

arXiv:2404.02726v1 Announce Type: cross
Abstract: In recent years, the emergence of models capable of generating images from text has attracted considerable interest, offering the possibility of creating realistic images from text descriptions. Yet these advances have also raised concerns about the potential misuse of these images, including the creation of misleading content such as fake news and propaganda. This study investigates the effectiveness of using advanced vision-language models (VLMs) for synthetic image identification. Specifically, the focus is on tuning state-of-the-art …

arxiv cs.cr cs.cv cs.lg detection image language language models large power synthetic