Abstract: Face forgery detection suffers from cross-dataset generalization challenges, where performance degradation occurs due to distribution shifts between training and testing data. Recently, ...
Studies by the National Institute of Standards and Technology (NIST) show that many commercial facial recognition algorithms have significantly higher error rates for ...
Abstract: Recent advancements in text-to-3D generation have relied on large 3D datasets or expensive optimization processes during inference. In this paper, we introduce ControlFace, a novel framework ...
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