Conversion of Text-to-Image Generation
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Abstract
With the exponential growth of data and advancements in Artificial Intelligence (AI), the task of converting textual descriptions into visual images has gained significant traction. This research addresses the challenge by leveraging AI techniques to develop a robust Text-to-Image Generation system that translating text prompt into accurate, high-quality images. This study aims to explore and analyze cutting-edge AI techniques for text-to-image generation, with a focus on enhancing the accuracy and visual quality of generated images. Our strategy involves employing state-of-the-art neural network architectures and evaluation metrics to ensure high-quality image synthesis. The significance of this project lies in its potential to revolutionizing industries from digital art to product design. Through this endeavor, we aim to contribute to the frontier of AI-driven imaginary image generation.