UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 10 Issue 11
November-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2311422


Registration ID:
528691

Page Number

e138-e145

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Title

A comprehensive review of Generative AI Text To Image Generator

Abstract

This article provides an overview of Generative AI Text-to-Image Generation, a cutting-edge technology that leverages artificial intelligence to create visual content based on textual input. This innovation eliminates the need for traditional image creation methods. In 2010, the concept of Generative Adversarial Networks (GANs) was introduced. This innovative approach enables the generation of images, illustrations, and graphics by interpreting and translating text prompts into visual representations, eliminating the need for traditional image creation methods. In this article, we delve into the history of this field, summarize its core functionalities, explore potential solutions to enhance accuracy and quality, comprehend the underlying mechanisms, and discuss potential research gaps to further advance Generative AI Text-to-Image Generation.

Key Words

Attentional Generative Network, EntityDrawBench, FID score, IS score, CLIP models, Latent Space, DrawBench Benchmark, R-precison(%), Guided Diffusion, semantic consistency, T5-XXL encoder, Diffusion Dequantization-Inpainting Model, COCO dataset, CUB dataset, STEM, GAN, Stable Diffusion.

Cite This Article

"A comprehensive review of Generative AI Text To Image Generator", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 11, page no.e138-e145, November-2023, Available :http://www.jetir.org/papers/JETIR2311422.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A comprehensive review of Generative AI Text To Image Generator", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 11, page no. ppe138-e145, November-2023, Available at : http://www.jetir.org/papers/JETIR2311422.pdf

Publication Details

Published Paper ID: JETIR2311422
Registration ID: 528691
Published In: Volume 10 | Issue 11 | Year November-2023
DOI (Digital Object Identifier):
Page No: e138-e145
Country: mohali, punjab, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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