Publication
GANimation: Anatomically-aware facial animation from a single image
Conference Article
Conference
European Conference on Computer Vision (ECCV)
Edition
15th
Pages
835-851
Doc link
https://doi.org/10.1007/978-3-030-01249-6_50
File
Authors
Projects associated
AEROARMS: AErial RObotics System integrating multiple ARMS and advanced manipulation capabilities for inspection and maintenance
ColRobTransp: Colaboración robots-humanos para el transporte de productos en zonas urbanas
MdM: Unit of Excellence María de Maeztu
HuMoUR: Markerless 3D human motion understanding for adaptive robot behavior
Abstract
Recent advances in Generative Adversarial Networks (GANs) have shown impressive results for task of facial expression synthesis. The most successful architecture is StarGAN, that conditions GANs' generation process with images of a specific domain, namely a set of images of persons sharing the same expression. While effective, this approach can only generate a discrete number of expressions, determined by the content of the dataset. To address this limitation, in this paper, we introduce a novel GAN conditioning scheme based on Action Units (AU) annotations, which describes in a continuous manifold the anatomical facial movements defining a human expression. Our approach allows controlling the magnitude of activation of each AU and combine several of them. Additionally, we propose a fully unsupervised strategy to train the model, that only requires images annotated with their activated AUs, and exploit attention mechanisms that make our network robust to changing backgrounds and lighting conditions. Extensive evaluation show that our approach goes beyond competing conditional generators both in the capability to synthesize a much wider range of expressions ruled by anatomically feasible muscle movements, as in the capacity of dealing with images in the wild.
Categories
computer vision.
Author keywords
GANs, Face Animation, Action-Unit Condition
Scientific reference
A. Pumarola, A. Agudo, A.M. Martinez, A. Sanfeliu and F. Moreno-Noguer. GANimation: Anatomically-aware facial animation from a single image, 15th European Conference on Computer Vision, 2018, Munich, Germany, in Computer Vision - ECCV 2018, Vol 11214 of Lecture Notes in Computer Science, pp. 835-851, 2018.
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