A Survey of Available Techniques for Generation of Digital Image by Various Generative Adversarial Text Generation

Authors

  • Bharti Kumari  Research Scholar, SHEAT College of Engineering, Varanasi, Uttar Pradesh, India
  • Sonam Singh  Assistant Professor, SHEAT College of Engineering, Varanasi, Uttar Pradesh, India

Keywords:

Generative Adversarial Networks, Measuring Distance, Dashboard Camera

Abstract

Since the introduction of Generative Adversarial Networks (GANs) in 2014, the use of GANs for text-to-image synthesis has garnered increasing interest, leading to the development of several GAN-based models. Despite the widespread use of strong GANs in numerous applications, we have discovered three studies pertaining to text-to-image synthesis that rely on GANs. We provide a concise summary and thorough analysis of these polls, while also examining the disparities between them. Reference [1] is the most pertinent to our work. The authors of the study provide a comprehensive analysis of picture synthesis using ordinary text as a basis. The authors analyze the underlying reasons and context behind text-to-image synthesis and provide the fundamental network architecture.

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International Journal of Scientific Research in Science and Technology

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Published

2024-02-29

Issue

Volume 11, Issue 1, January-February-2024

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Bharti Kumari, Sonam Singh "A Survey of Available Techniques for Generation of Digital Image by Various Generative Adversarial Text Generation" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 11, Issue 1, pp.629-635, January-February-2024.