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
The advent of Deep Learning has led to numerous breakthroughs in the field of Computer Vision. Over ...
While several research studies have focused on analyzing human behavior and, in particular, emotiona...
This paper presents a method for photo-realistic animation of any face shown in a single image or a ...
In this work, we propose an encoder-decoder-like architecture to perform face reenact- ment in image...
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...
International audienceVideo generation greatly benefits from integrating facial expressions, as they...
Facial video re-targeting is a challenging problem aiming to modify the facial attributes of a targe...
Photo-realistic face editing – an important basis for a wide range of applications in movie and game...
We propose HeadOn, the first real-time source-to-target reenactment approach for complete human port...
Face reenactment and reconstruction benefit various applications in self-media, VR, etc. Recent face...
This paper presents a method for photo-realistic animation that can be applied to any face shown in ...
We present a novel approach that enables photo-realistic re-animation of portrait videos using only ...
The recent advance in generative adversarial networks has shown promising results in solving the pr...
While several research studies have focused on analyzing human behavior and, in particular, emotiona...
The advent of Deep Learning has led to numerous breakthroughs in the field of Computer Vision. Over ...
While several research studies have focused on analyzing human behavior and, in particular, emotiona...
This paper presents a method for photo-realistic animation of any face shown in a single image or a ...
In this work, we propose an encoder-decoder-like architecture to perform face reenact- ment in image...
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...
International audienceVideo generation greatly benefits from integrating facial expressions, as they...
Facial video re-targeting is a challenging problem aiming to modify the facial attributes of a targe...
Photo-realistic face editing – an important basis for a wide range of applications in movie and game...
We propose HeadOn, the first real-time source-to-target reenactment approach for complete human port...
Face reenactment and reconstruction benefit various applications in self-media, VR, etc. Recent face...
This paper presents a method for photo-realistic animation that can be applied to any face shown in ...
We present a novel approach that enables photo-realistic re-animation of portrait videos using only ...
The recent advance in generative adversarial networks has shown promising results in solving the pr...
While several research studies have focused on analyzing human behavior and, in particular, emotiona...
The advent of Deep Learning has led to numerous breakthroughs in the field of Computer Vision. Over ...
While several research studies have focused on analyzing human behavior and, in particular, emotiona...
This paper presents a method for photo-realistic animation of any face shown in a single image or a ...