128 citations · 130 across the 3 of their papers we have counts for
5 papers
MakeupMirror: Improving Facial Attribute Preservation in Diffusion Models for Makeup Transfer
Nefeli Andreou, Angel Martínez-González, Sabine Sternig +3
Makeup transfer models enable fun augmented reality (AR) experiences as well as virtual try-on (VTO) for online makeup shopping. While recent state-of-the-art diffusion based solut…
DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild
Riza Alp Guler, Yuxiang Zhou, George Trigeorgis +4
In this work we use deep learning to establish dense correspondences between a 3D object model and an image "in the wild". We introduce "DenseReg", a fully-convolutional neural net…
3D Face Morphable Models "In-the-Wild"
James Booth, Epameinondas Antonakos, Stylianos Ploumpis +3
3D Morphable Models (3DMMs) are powerful statistical models of 3D facial shape and texture, and among the state-of-the-art methods for reconstructing facial shape from single image…
DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild
Rıza Alp Güler, George Trigeorgis, Epameinondas Antonakos +3
In this paper we propose to learn a mapping from image pixels into a dense template grid through a fully convolutional network. We formulate this task as a regression problem and t…
A Comprehensive Performance Evaluation of Deformable Face Tracking "In-the-Wild"
Grigorios G. Chrysos, Epameinondas Antonakos, Patrick Snape +2
Recently, technologies such as face detection, facial landmark localisation and face recognition and verification have matured enough to provide effective and efficient solutions f…