Digital avatar customization using Cycle Generative Adversarial Networks
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Show full item recordcomunitat-uji-handle:10234/158176
comunitat-uji-handle2:10234/71324
comunitat-uji-handle3:10234/169451
comunitat-uji-handle4:
TFG-TFMMetadata
Title
Digital avatar customization using Cycle Generative Adversarial NetworksAuthor (s)
Tutor/Supervisor; University.Department
Fernández Beltrán, Rafael; Universitat Jaume I. Departament de Llenguatges i Sistemes InformàticsDate
2023-07-18Publisher
Universitat Jaume IAbstract
This document presents the Final Degree Work report of the Video Games Design and
Development Degree by Lucía González García.
The primary aim of this project is to enhance the creation and personalization of
digital ... [+]
This document presents the Final Degree Work report of the Video Games Design and
Development Degree by Lucía González García.
The primary aim of this project is to enhance the creation and personalization of
digital avatars using Deep Learning techniques, particularly Generative Adversarial Networks
(GAN) technology. The objective is to enable users to generate avatars based on
their own photographs, such as selfies, and apply various desired image styles. To achieve
this, an application will be developed, allowing users to upload their images and apply
predefined styles such as manga, cartoons, and more. The outcome will be a harmonious
combination of the original image and the selected style, resulting in a coherent visual
output. [-]
Subject
Description
Treball final de Grau en Disseny i Desenvolupament de Videojocs. Codi: VJ1241. Curs acadèmic: 2022/2023
Type
info:eu-repo/semantics/bachelorThesisRights
info:eu-repo/semantics/openAccess