# name
Neutral face generator using variational autoencoders

# metadata.dc.description[].value
Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2020, Director: Meysam Madadi

# metadata.dc.description.abstract[].value
[en] The aim of this project is to develop a model which is able to generate a neutral face from a sample of images of the same person with different expressions. This expressions can be gathered from a video of that person just talking frontally to the camera. For doing this we will need a model which as it is able to learn meaningful features of the frontal faces. Also this model should be capable of reconstructing faces from this learned features.

# metadata.dc.rights[].value
memòria: cc-nc-nd (c) Jorge Acosta Hernández, 2020

# metadata.dc.rights[].value
codi: GPL (c) Jorge Acosta Hernández, 2020

# metadata.dc.source[].value
Treballs Finals de Grau (TFG) - Enginyeria Informàtica

# metadata.dc.subject.other[].value
Human face recognition (Computer science)

# metadata.dc.title[].value
Neutral face generator using variational autoencoders