8 papers
Dynamic Neural Portraits
Michail Christos Doukas, Stylianos Ploumpis, Stefanos Zafeiriou
We present Dynamic Neural Portraits, a novel approach to the problem of full-head reenactment. Our method generates photo-realistic video portraits by explicitly controlling head p…
3D human tongue reconstruction from single "in-the-wild" images
Stylianos Ploumpis, Stylianos Moschoglou, Vasileios Triantafyllou +1
3D face reconstruction from a single image is a task that has garnered increased interest in the Computer Vision community, especially due to its broad use in a number of applicati…
Learning to Generate Customized Dynamic 3D Facial Expressions
Rolandos Alexandros Potamias, Jiali Zheng, Stylianos Ploumpis +3
Recent advances in deep learning have significantly pushed the state-of-the-art in photorealistic video animation given a single image. In this paper, we extrapolate those advances…
AvatarMe: Realistically Renderable 3D Facial Reconstruction "in-the-wild"
Alexandros Lattas, Stylianos Moschoglou, Baris Gecer +4
Over the last years, with the advent of Generative Adversarial Networks (GANs), many face analysis tasks have accomplished astounding performance, with applications including, but…
Towards a complete 3D morphable model of the human head
Stylianos Ploumpis, Evangelos Ververas, Eimear O' Sullivan +6
Three-dimensional Morphable Models (3DMMs) are powerful statistical tools for representing the 3D shapes and textures of an object class. Here we present the most complete 3DMM of…
3DFaceGAN: Adversarial Nets for 3D Face Representation, Generation, and Translation
Stylianos Moschoglou, Stylianos Ploumpis, Mihalis Nicolaou +2
Over the past few years, Generative Adversarial Networks (GANs) have garnered increased interest among researchers in Computer Vision, with applications including, but not limited…