Abstract: Face forgery detection suffers from cross-dataset generalization challenges, where performance degradation occurs due to distribution shifts between training and testing data. Recently, ...
Abstract: Personalized text-to-image generation aims to learn new concepts from user-provided images and subsequently generate diverse scenes or styles of the concepts from input prompts. Most ...
Training-free framework that converts SAM3 into a real-time multi-class open-vocabulary detector. Achieves 55.8 AP on COCO val2017 (80 classes) at 15.8 FPS (4 classes, 1008px) on a single RTX 4080.
Humans have been successfully trained to spot AI-generated faces in a study led by researchers at the Australian National ...
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