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cs.CV2020

A Morphable Face Albedo Model

William A. P. Smith, Alassane Seck, Hannah Dee +3

In this paper, we bring together two divergent strands of research: photometric face capture and statistical 3D face appearance modelling. We propose a novel lightstage capture and…

cs.CV2019

3D Morphable Face Models -- Past, Present and Future

Bernhard Egger, William A. P. Smith, Ayush Tewari +10

In this paper, we provide a detailed survey of 3D Morphable Face Models over the 20 years since they were first proposed. The challenges in building and applying these models, name…

cs.CV2018

Can Synthetic Faces Undo the Damage of Dataset Bias to Face Recognition and Facial Landmark Detection?

Adam Kortylewski, Bernhard Egger, Andreas Morel-Forster +5

It is well known that deep learning approaches to face recognition and facial landmark detection suffer from biases in modern training datasets. In this work, we propose to use syn…

cs.CV2018

Training Deep Face Recognition Systems with Synthetic Data

Adam Kortylewski, Andreas Schneider, Thomas Gerig +3

Recent advances in deep learning have significantly increased the performance of face recognition systems. The performance and reliability of these models depend heavily on the amo…

cs.CV2017

Morphable Face Models - An Open Framework

Thomas Gerig, Andreas Morel-Forster, Clemens Blumer +4

In this paper, we present a novel open-source pipeline for face registration based on Gaussian processes as well as an application to face image analysis. Non-rigid registration of…