Add to ORKGIn this work, we propose an encoder-decoder-like architecture to perform face reenact- ment in image sequences. Our goal is to transfer the training subject identity to a given test subject, regularazing the generation with Action units and gaze vectors to generate more lifelike results
Everyone wants their images to look as good as possible when they post on social media. It is not al...
The recent advance in generative adversarial networks has shown promising results in solving the pr...
In this paper, we present our method for neural face reenactment, called HyperReenact, that aims to...
In this work, we propose an encoder-decoder-like architecture to perform face reenact- ment in image...
Photo-realistic face editing – an important basis for a wide range of applications in movie and game...
We present a novel approach that enables photo-realistic re-animation of portrait videos using only ...
Facial video re-targeting is a challenging problem aiming to modify the facial attributes of a targe...
We propose HeadOn, the first real-time source-to-target reenactment approach for complete human port...
The advent of Deep Learning has led to numerous breakthroughs in the field of Computer Vision. Over ...
Photorealistic and semantically controllable digital models of human faces are important for a wide ...
Recent works have shown how realistic talking face images can be obtained under the supervision of g...
We propose an image-based, facial reenactment system that replaces the face of an actor in an existi...
In this work we propose a novel model-based deep convolutional autoencoder that addresses the highly...
Face reenactment and reconstruction benefit various applications in self-media, VR, etc. Recent face...
In this paper, we present our method for neural face reenactment, called HyperReenact, that aims to ...
Everyone wants their images to look as good as possible when they post on social media. It is not al...
The recent advance in generative adversarial networks has shown promising results in solving the pr...
In this paper, we present our method for neural face reenactment, called HyperReenact, that aims to...
In this work, we propose an encoder-decoder-like architecture to perform face reenact- ment in image...
Photo-realistic face editing – an important basis for a wide range of applications in movie and game...
We present a novel approach that enables photo-realistic re-animation of portrait videos using only ...
Facial video re-targeting is a challenging problem aiming to modify the facial attributes of a targe...
We propose HeadOn, the first real-time source-to-target reenactment approach for complete human port...
The advent of Deep Learning has led to numerous breakthroughs in the field of Computer Vision. Over ...
Photorealistic and semantically controllable digital models of human faces are important for a wide ...
Recent works have shown how realistic talking face images can be obtained under the supervision of g...
We propose an image-based, facial reenactment system that replaces the face of an actor in an existi...
In this work we propose a novel model-based deep convolutional autoencoder that addresses the highly...
Face reenactment and reconstruction benefit various applications in self-media, VR, etc. Recent face...
In this paper, we present our method for neural face reenactment, called HyperReenact, that aims to ...
Everyone wants their images to look as good as possible when they post on social media. It is not al...
The recent advance in generative adversarial networks has shown promising results in solving the pr...
In this paper, we present our method for neural face reenactment, called HyperReenact, that aims to...