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Bachelor thesis

Publication date

2019-01-18

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cc-by-nc-nd (c) Ricardo Domínguez Mira, 2019
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/135720

TripletGAN: model for image generation

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Abstract

[en] Generative Adversarial Networks (GANs) have been widely used for image generation. From the conception of this model in 2014 until now, there has been a increasingly interest in this model, which have lead it to be one of the most popular Deep Learning models nowadays. The popularity of this model has entailed a significant list of variations of it. This work aims are to study the GAN model, and specifically, one of its variations: TripletGAN.

Description

Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2019, Director: Santi Seguí Mesquida

Subject

Aprenentatge automàtic, Treballs de fi de grau, Resolució de problemes, Sistemes d'imatges, Algorismes computacionals

Subject (English)

Machine learning, Bachelor's theses, Problem solving, Imaging systems, Computer algorithms

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Treballs Finals de Grau (TFG) - Matemàtiques

Citation

DOMÍNGUEZ MIRA, Ricardo. TripletGAN: model for image generation. [consulted: 20 of August of 2026]. Available at: https://hdl.handle.net/2445/135720

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