Bi-LORA: A Vision-Language Approach for Synthetic Image Detection

arXiv:2404.01959v1 Announce Type: cross
Abstract: Advancements in deep image synthesis techniques, such as generative adversarial networks (GANs) and diffusion models (DMs), have ushered in an era of generating highly realistic images. While this technological progress has captured significant interest, it has also raised concerns about the potential difficulty in distinguishing real images from their synthetic counterparts. This paper takes inspiration from the potent convergence capabilities between vision and language, coupled with the zero-shot nature of vision-language models (VLMs). We introduce …

arxiv cs.cr cs.cv cs.lg detection image language lora synthetic