Deep Learning Techniques applied to Clothing Image Synthesis and Fashion Styling

This document describes the work carried out during the internship period, lasting about three hundred hours, by the graduating student Trinca Nicolò at the company Fashion Box S.p.a. The primary goal of this internship is to conduct a feasibility study and implement a cutting-edge Generative Adversarial Network (GAN) capable of generating realistic images of clothing, starting from a collection of images. This process involves selecting appropriate GAN architectures and the right technologies to achieve the desired outcome. Additionally, a proof of concept (POC) was developed to synthesize images and explore the possibility of modifying and driving the generation through a text description.