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Image Synthesis Using Machine Learning Techniques

  • Param Gupta
  • Shipra ShuklaEmail author
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 38)

Abstract

Image synthesis is the generation of realistic images using a computer algorithm. This can be difficult and time-consuming. Image synthesis using machine learning aims to make this process easier and more accessible. The most prominent machine learning model for generating content is known as generative adversarial networks. This paper reviews and evaluates various generative model based on GANs. These various models are evaluated using inception score and Fréchet inception distance. These are common metrics for the evaluation of generative adversarial networks.

Keywords

Image Generative adversarial networks Machine learning 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Amity School of Engineering and TechnologyAmity University Uttar PradeshNoidaIndia

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