Generating Image from Text |
Author(s): |
| Asmita Kadam , Dr.J.J.Magdum college of Engineering,jaysingpur; Dr.Prof.D.A.Nikam, Dr.J.J.Magdum college of Engineering,jaysingpur; Prajakta Kalyani, Dr.J.J.Magdum college of Engineering,jaysingpur; Titiksha Ingale, Dr.J.J.Magdum college of Engineering,jaysingpur; Snehal Chougule, Dr.J.J.Magdum college of Engineering,jaysingpur |
Keywords: |
| Sentiment Analysis, Classification, Machine Learning |
Abstract |
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Generating photo-realistic images from text is an important problem and has tremendous applications, including photo-editing, computer-aided design, etc[5]. Recently, Generative Adversarial Networks (GAN) has shown promising results in synthesizing real-world images.[3] Conditioned on given text descriptions, conditional GANs are able to generate images that are highly related to the text meanings. Synthesizing images from text descriptions is a challenging problem in computer vision and has many practical applications. Although Generative Adversarial Networks (GANs) have shown remarkable success in various tasks, they have modelled image- generation of general objects in everyday-life[3]. |
Other Details |
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Paper ID: IJSRDV9I50132 Published in: Volume : 9, Issue : 5 Publication Date: 01/08/2021 Page(s): 118-120 |
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