Advanced School for Computing and Imaging (ASCI)

ASCI office
Delft University of Technology
Building 28, room 04.E120
Van Mourik Broekmanweg 6
2628 XE – DELFT, The Netherlands

P: +31 15 27 88032

Visiting hours office
Monday, Tuesday, Thursday: 10:00 – 15:00


The ASCI office is located at the Delft University of Technology campus.  It is easily accessible by bicycle, public transport and car. The numbers of buildings can help you find your way around the campus. Make sure you remember the name and building number of your destination.

Contact us at +31 15 278 8032 or send us an email at

Learning Image Decomposition for Face Analysis and Synthesis

Learning image decomposition for face analysis and synthesis

Author : Le Minh Ngo
Promotor(s) : Prof.dr. T. Gevers / Dr. S. Karaoglu
University : Delft University of Technology
Year of publication : 2021
Link to repository : Link to thesis


This thesis is focused on learning face attribute decomposition to improve face analysis and synthesis. Given an image of a face, prior knowledge about its interaction with the environment, light source, and how the face may geometrically change, are considered. By incorporating such kind of prior knowledge, one can achieve a better, more robust predictive models which generalize well on unseen data. In the case of the infeasibility of modeling a prior, a commonality between face analysis or synthesis tasks can be considered to learn a joint attribute representation conditioned on constraints from those tasks.

Prior knowledge about face can help to achieve better discriminative learning models. In this thesis, we show how domain knowledge about face can be explicitly incorporated into age estimation and deception detection models. A similar idea can be adapted for generative learning models for the monocular face image manipulation task. In the absence/incapability of explicit modeling, implicit modeling of prior knowledge via multi-task learning can be used.