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http://hdl.handle.net/2445/197743
Title: | Com podem programar l’art? Introducció a les generative adversarial networks |
Author: | Rivadulla Duró, Clara |
Director/Tutor: | Puertas i Prats, Eloi |
Keywords: | Art per ordinador Intel·ligència artificial Programari Treballs de fi de grau Aprenentatge automàtic Computer art Artificial intelligence Computer software Machine learning Bachelor's theses |
Issue Date: | 13-Jun-2022 |
Abstract: | [en] Generative art and computational creativity are two areas that have been very popularized between artists, engineers, and theorists of philosophy and psychology in the past few years. Computational advances and their recent applications challenge the creative exclusivity of the human being. But can a computer be creative? We still can’t find an answer and maybe we never will, being art something so personal and subjective, it avoids all sorts of agreement and convention. Nevertheless, we can sow doubt. We will do so by implementing a Generative Adversarial Network, a recent trend in the world of artificial intelligence and deep learning, and training it with the work of a renowned artist. The results will be analyzed, always subjectively, through comparisons between executions, and surveys. |
Note: | Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2022, Director: Eloi Puertas i Prats |
URI: | http://hdl.handle.net/2445/197743 |
Appears in Collections: | Programari - Treballs de l'alumnat Treballs Finals de Grau (TFG) - Enginyeria Informàtica |
Files in This Item:
File | Description | Size | Format | |
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tfg_rivadulla_duro_clara.pdf | Memòria | 12.38 MB | Adobe PDF | View/Open |
codi.zip | Codi font | 46.89 MB | zip | View/Open |
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