4 accepted papers
We introduce GaussianSpeech, a novel approach that synthesizes high-fidelity animation sequences of photorealistic and personalized multi-view consistent 3D human head avatars from spoken audio at real-time rendering rates. To capture the expressive and detailed nature of human heads, including skin…
We introduce FaceTalk a novel generative approach designed for synthesizing high-fidelity 3D motion sequences of talking human heads from input audio signal. To capture the expressive detailed nature of human heads including hair ears and finer-scale eye movements we propose to couple speech signal…
Despite the recent attention to DeepFakes, one of the most prevalent ways to mislead audiences on social media is the use of unaltered images in a new but false context. We propose a new method that automatically highlights out-of-context image and text pairs, for assisting fact-checkers. Our key in…
"Face manipulation methods can be misused to affect an individual’s privacy or to spread disinformation. To this end, we introduce a novel data-driven approach that produces image-specific perturbations which are embedded in the original images. The key idea is that these protected images prevent fa…