LogInThe method can even be applied to animated movies.
Computer Scientists Rotem Tzaban, Ron Mokady, Rinon Gal, Amit Bermano, and Daniel Cohen-Or from Tel Aviv University have unveiled a new AI that can apply semantic manipulations to real facial videos without requiring any temporal components. The AI they created can easily change a person's looks, age, gender, and even facial expression, effectively creating deepfakes from any videos.
"We leverage the natural alignment of StyleGAN and the tendency of neural networks to learn low-frequency functions, and demonstrate that they provide a strongly consistent prior. We draw on these insights and propose a framework for semantic editing of faces in videos, demonstrating significant improvements over the current state-of-the-art.
Our method produces meaningful face manipulations, maintains a higher degree of temporal consistency, and can be applied to challenging, high-quality, talking head videos which current methods struggle with," comments the team.
The method proposed by the team even works on characters from animated movies:
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