Generating images using generative adversarial networks based on text descriptions
Turarova M. Bekbayeva R. Abdykerimova L. Aitimov M. Bayegizova A. Smailova U. Kassenova L. Glazyrina N.
April 2024Institute of Advanced Engineering and Science
International Journal of Electrical and Computer Engineering
2024#14Issue 22014 - 2023 pp.
Modern developments in the fields of natural language processing (NLP) and computer vision (CV) emphasize the increasing importance of generating images from text descriptions. The presented article analyzes and compares two key methods in this area: generative adversarial network with conditional latent semantic analysis (GAN-CLS) and ultra-long transformer network (XLNet). The main components of GAN-CLS, including the generator, discriminator, and text encoder, are discussed in the context of their functional tasks—generating images from text inputs, assessing the realism of generated images, and converting text descriptions into latent spaces, respectively. A detailed comparative analysis of the performance of GAN-CLS and XLNet, the latter of which is widely used in the organic light-emitting diode (OEL) field, is carried out. The purpose of the study is to determine the effectiveness of each method in different scenarios and then provide valuable recommendations for selecting the best method for generating images from text descriptions, taking into account specific tasks and resources. Ultimately, our paper aims to be a valuable research resource by providing scientific guidance for NLP and CV experts.
Discriminator , Extra-long transformer network , Generative adversarial network with conditional latent semantic , Generator , Machine learning , Natural language processing
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Department of Computer and Software Engineering, Faculty of Information Technology, L.N. Gumilyov Eurasian National University, Astana, Kazakhstan
Department of Automation, Information Technology and Urban Development, Non-Profit Limited Company Semey University Named after Shakarim, Semey, Kazakhstan
Department of Information Systems, M.H. Dulaty Taraz Regional Universitety, Taraz, Kazakhstan
Kyzylorda Regional Branch, The Academy of Public Administration under the President of the Republic of Kazakhstan, Kyzylorda, Kazakhstan
Department of Radio Engineering, Electronics and Telecommunications, L.N. Gumilyov Eurasian National University, Astana, Kazakhstan
Center of Excellence of Autonomous Educational Organization, Nazarbayev Intellectual Schools, Astana, Kazakhstan
Department of Information Systems and Technologies, Faculty of Applied Sciences, Esil University, Astana, Kazakhstan
Department of Computer and Software Engineering
Department of Automation
Department of Information Systems
Kyzylorda Regional Branch
Department of Radio Engineering
Center of Excellence of Autonomous Educational Organization
Department of Information Systems and Technologies
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