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Bachelor thesis

Publication date

2020-01-19

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cc-by-nc-nd (c) Marina Viñals Canal, 2020
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/166597

Using GANs for face aging

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Abstract

[en] Face Aging refers to processing an image of a face to make it look older or younger. In this work, we will study this problem by using Generative Models and, more specifically, Generative Adversarial Networks. This work belongs in the Artificial Intelligence and Computer Vision fields, since the problem requires the processing of images using Machine Learning. In this work we will study the available state of the art methods and also the mathematical background the models are based on. The aim is to implement and train some chosen methods on real data, propose an improvement to the models and analyse the results in order to propose a Face Aging solution.

Description

Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2020, Director: Petia Radeva

Subject

Visió per ordinador, Treballs de fi de grau, Aprenentatge automàtic, Xarxes neuronals (Informàtica), Processament d'imatges, Envelliment, Cara

Subject (English)

Computer vision, Bachelor's theses, Machine learning, Neural networks (Computer science), Image processing, Aging, Face

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Treballs Finals de Grau (TFG) - Matemàtiques

Citation

VIÑALS CANAL, Marina. Using GANs for face aging. [consulted: 13 of June of 2026]. Available at: https://hdl.handle.net/2445/166597

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