UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 10 Issue 12
December-2023
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2312063


Registration ID:
529353

Page Number

a491-a495

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Title

Image Transformation using Cycle GAN: Bridging The Gap between Reality and Creativity

Abstract

This research paper investigates the profound transformative capacities inherent in Cycle Generative Adversarial Networks (Cycle GANs) within the realm of image processing. The primary focus lies in exploring how Cycle GANs serve as a pivotal bridge, seamlessly connecting the realms of reality and creativity through their unique ability to facilitate bidirectional image transformations. These bidirectional transformations imply that a given image can be translated from one domain to another and then back again, showcasing the versatility and adaptability of Cycle GANs. The paper meticulously dissects the fundamental principles that underpin Cycle GANs, shedding light on their intricate mechanisms and algorithms. Additionally, it delves into the diverse applications of Cycle GANs, elucidating how they extend beyond conventional image processing to influence the synthesis of creative and realistic visual content. By leveraging Cycle GANs, researchers and practitioners can harness a potent tool that not only refines and enhances images but also enables the generation of entirely new and imaginative visual constructs. Through a comprehensive study, the research unfolds the multifaceted implications and ramifications of Cycle GANs in the field of image synthesis. By understanding the nuances of Cycle GANs, this paper aims to contribute to the evolving landscape of image processing, providing valuable insights into the ways in which these generative networks can be harnessed to push the boundaries of creativity while maintaining a strong connection to the foundations of reality.

Key Words

Cycle Generative Adversarial Networks, Image Processing, Image Transformations, Conventional Image

Cite This Article

"Image Transformation using Cycle GAN: Bridging The Gap between Reality and Creativity", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 12, page no.a491-a495, December-2023, Available :http://www.jetir.org/papers/JETIR2312063.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

"Image Transformation using Cycle GAN: Bridging The Gap between Reality and Creativity", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 12, page no. ppa491-a495, December-2023, Available at : http://www.jetir.org/papers/JETIR2312063.pdf

Publication Details

Published Paper ID: JETIR2312063
Registration ID: 529353
Published In: Volume 10 | Issue 12 | Year December-2023
DOI (Digital Object Identifier):
Page No: a491-a495
Country: Durgapur, West Bengal, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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