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A Survey on Multilingual Text to Image AI Generator


EOI: 10.11242/viva-tech.01.08.016

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Citation

Ankit Chaudhary, Vinayak Mishra, Durvesh Kasar, Bhavika Thakur, " A Survey on Multilingual Text to Image AI Generator ", VIVA-IJRI Volume 1, Issue 8, Article 1, pp. 1-7, 2025. Published by Computer Engineering Department, VIVA Institute of Technology, Virar, India.

Abstract

Multilingual text-to-image generation is a rapidly growing field in artificial intelligence, where models create images from text descriptions in multiple languages. This survey brings together key ideas and advancements in the field. It explores techniques like fine-tuning models to personalize image generation, using translation methods to handle different languages, and improving image quality with advanced technologies like stable diffusion and SDXL models. Applications of these models include education, webtoon creation, architecture, and artistic design, showing how they can be used in various industries. While the technology has made great progress, challenges remain, such as handling language diversity, reducing biases in training data, and managing the high computational demands of these models. This paper provides an overview of the current state of multilingual text-to-image generation, highlighting how it can create accurate and detailed images from text while discussing limitations and areas for improvement. By addressing these challenges, this survey aims to support the development of more inclusive and effective AI systems for creating visual content from text worldwide.

Keywords

- Artificial Intelligence, Diffusion Models, Generative Models, Image Synthesis, Text-to-Image Generation.

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