Text to Image Synthesis Model for Tamil Language based on Deep Learning Approach
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Abstract
The history and usage of Tamil are among the longest of any Indian language. It
newlinegoes back to antiquity, has its own tradition, and is steeped in a wealth of ancient literature.
newlineAs the new millennium began, more than 66 million people spoke Tamil as their
newlinenative tongue. In recent times applications involving image synthesis for the text information
newlinehas gained attention to a greater extent. The ability to convert text into imagery
newlineusing computer vision techniques involves language model and Generative Adversarial
newlineArchitecture (GAN). The current state of intelligent systems research has seen them
newlinetaught in universal language but has fallen short of expectations when it comes to applications
newlinein regional languages. By eliminating the language barrier, regional languages
newlinewill allow for a wider variety of applications to be created and additional fields of study
newlineto be investigated. Existing work incorporating auto encoders had limitations in representing
newlineoutput features and critical aspects of the synthesised images. In the proposed
newlineresearch work a linguistic model is used to generate embedding vectors for the Tamil
newlinesentence, and then a GAN is used to synthesise the representation of the image. To improve
newlinethe performance of the architecture the design is optimised by considering the input
newlinenoise dimensionality and L1 norm for matching features across the real images and
newlinesynthesised images. The suggested architecture has several conceivable applications,
newlinesuch in the fields of fashion design, photography, Computer Aideed Design (CAD), the
newlineeducational sector, and more. Research concepts in native languages can be brought
newlinetogether through the use of the proposed language and image synthesis deep learning
newlinearchitecture. The evaluation of proposed model has achieved performance when compared
newlinewith state-of-art models for image synthesis for Tamil language
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