Enhancing Single-Image Facial Demorphing using Multimodal Large Language Models 事件

Enhancing Single-Image Facial Demorphing using Multimodal Large Language Models arXiv:2605.25442v1 Announce Type: new Abstract: Face recognition systems are increasingly vulnerable to morphing attacks, where a composite image is crafted to match multiple identities, enabling unauthorized access and identity fraud. Existing detection methods identify morphed images but cannot recover constituent images or identities, limiting their forensic utility. This paper presents a novel reference-free fac