Digital avatar customization using Cycle Generative Adversarial Networks
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Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/158176
comunitat-uji-handle2:10234/71324
comunitat-uji-handle3:10234/169451
comunitat-uji-handle4:
TFG-TFMMetadatos
Título
Digital avatar customization using Cycle Generative Adversarial NetworksAutoría
Tutor/Supervisor; Universidad.Departamento
Fernández Beltrán, Rafael; Universitat Jaume I. Departament de Llenguatges i Sistemes InformàticsFecha de publicación
2023-07-18Editor
Universitat Jaume IResumen
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. [-]
Palabras clave / Materias
Descripción
Treball final de Grau en Disseny i Desenvolupament de Videojocs. Codi: VJ1241. Curs acadèmic: 2022/2023
Tipo de documento
info:eu-repo/semantics/bachelorThesisDerechos de acceso
info:eu-repo/semantics/openAccess