Text to Image Generation Using Machine Learning
A method called text-to-image involves creating images automatically from provided written descriptions. It contributes significantly to artificial intelligence by tackling the problem of integrating textual and visual input. One of the usefulness of automatic picture synthesis is the generation...
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| Format: | Article |
| Language: | English English |
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INTI International University
2024
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| Online Access: | http://eprints.intimal.edu.my/2067/ http://eprints.intimal.edu.my/2067/1/jods2024_60.pdf http://eprints.intimal.edu.my/2067/2/608 |
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| author | Rishab, Tiwari Chitra, K. |
| author_facet | Rishab, Tiwari Chitra, K. |
| author_sort | Rishab, Tiwari |
| building | INTI Institutional Repository |
| collection | Online Access |
| description | A method called text-to-image involves creating images automatically from provided written
descriptions. It contributes significantly to artificial intelligence by tackling the problem of
integrating textual and visual input. One of the usefulness of automatic picture synthesis is the
generation of images using conditional generative models. For this, Generative Adversarial
Networks (GANs) are frequently employed. Using GANs, recent developments in the sector have
made significant progress. An outstanding illustration of deep learning's potential is the
transformation of text into images. It is difficult to create a text-to-image synthesis system that
consistently creates realistic graphics based on predetermined criteria. Many of the existing
algorithms in this field struggle to produce visuals that precisely match the given text. In order to
solve this issue, we carried out a research work where we concentrated on developing the
generative adversarial network (GAN), a deep learning-based architecture. The aim of this
research work is to create a system that allows you to generate images that are semantically
consistent. |
| first_indexed | 2025-11-14T11:58:40Z |
| format | Article |
| id | intimal-2067 |
| institution | INTI International University |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T11:58:40Z |
| publishDate | 2024 |
| publisher | INTI International University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | intimal-20672024-11-28T04:37:28Z http://eprints.intimal.edu.my/2067/ Text to Image Generation Using Machine Learning Rishab, Tiwari Chitra, K. Q Science (General) QA Mathematics QA75 Electronic computers. Computer science QA76 Computer software A method called text-to-image involves creating images automatically from provided written descriptions. It contributes significantly to artificial intelligence by tackling the problem of integrating textual and visual input. One of the usefulness of automatic picture synthesis is the generation of images using conditional generative models. For this, Generative Adversarial Networks (GANs) are frequently employed. Using GANs, recent developments in the sector have made significant progress. An outstanding illustration of deep learning's potential is the transformation of text into images. It is difficult to create a text-to-image synthesis system that consistently creates realistic graphics based on predetermined criteria. Many of the existing algorithms in this field struggle to produce visuals that precisely match the given text. In order to solve this issue, we carried out a research work where we concentrated on developing the generative adversarial network (GAN), a deep learning-based architecture. The aim of this research work is to create a system that allows you to generate images that are semantically consistent. INTI International University 2024-11 Article PeerReviewed text en cc_by_4 http://eprints.intimal.edu.my/2067/1/jods2024_60.pdf text en cc_by_4 http://eprints.intimal.edu.my/2067/2/608 Rishab, Tiwari and Chitra, K. (2024) Text to Image Generation Using Machine Learning. Journal of Data Science, 2024 (60). pp. 1-6. ISSN 2805-5160 http://ipublishing.intimal.edu.my/jods.html |
| spellingShingle | Q Science (General) QA Mathematics QA75 Electronic computers. Computer science QA76 Computer software Rishab, Tiwari Chitra, K. Text to Image Generation Using Machine Learning |
| title | Text to Image Generation Using Machine Learning |
| title_full | Text to Image Generation Using Machine Learning |
| title_fullStr | Text to Image Generation Using Machine Learning |
| title_full_unstemmed | Text to Image Generation Using Machine Learning |
| title_short | Text to Image Generation Using Machine Learning |
| title_sort | text to image generation using machine learning |
| topic | Q Science (General) QA Mathematics QA75 Electronic computers. Computer science QA76 Computer software |
| url | http://eprints.intimal.edu.my/2067/ http://eprints.intimal.edu.my/2067/ http://eprints.intimal.edu.my/2067/1/jods2024_60.pdf http://eprints.intimal.edu.my/2067/2/608 |