A group of researchers just announced a new and refined approach for real-time face capture and reenactment. This paper presents a novel multi-identity face reenactment framework, named FReeNet, to transfer facial expressions from an arbitrary source face to a target face with a shared model. Neural Voice Puppetry consists of two main components (see Fig. Single Source One Shot Reenactment using Weighted motion From Paired ... Face Swap. This paper presents a novel multi-identity face reenactment framework, named FReeNet, to transfer facial expressions from an arbitrary source face to a target face with a shared model. •For each face we extract features (shape, expression, pose) obtained using the 3D morphable model •The network is trained so as that the embedded vectors of the same subject are close but far from those of different subjects Dataset and model will be publicly available . Previous approaches to face reenactments had a hard time preserving the identity of the target and tried to avoid the problem through fine-tuning or choosing a driver that does not diverge too much from the target. Papers with Code - MarioNETte: Few-shot Face Reenactment Preserving ... The former mainly relies on 3DMMs [4]. ReenactNet: Real-time Full Head Reenactment · Michail Christos Doukas Language: All clpeng / Awesome-Face-Forgery-Generation-and-Detection Star 279 Code Issues Pull requests A curated list of articles and codes related to face forgery generation and detection. The source sequence is also a monocular video stream, captured live with a commodity webcam. Recent works have demonstrated high quality results by combining the facial landmark based motion representations with the generative adversarial networks. PDF FACEGAN: Facial Attribute Controllable rEenactment GAN
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