A Survey of AI Text-to-Image and AI Text-to-Video Generators
It provides a comprehensive overview for researchers and practitioners in AI and multimedia, but is incremental as it synthesizes existing literature without new results.
This paper surveys existing approaches in AI text-to-image and text-to-video generation, covering data preprocessing, neural networks, and evaluation metrics, while discussing challenges and future directions.
Text-to-Image and Text-to-Video AI generation models are revolutionary technologies that use deep learning and natural language processing (NLP) techniques to create images and videos from textual descriptions. This paper investigates cutting-edge approaches in the discipline of Text-to-Image and Text-to-Video AI generations. The survey provides an overview of the existing literature as well as an analysis of the approaches used in various studies. It covers data preprocessing techniques, neural network types, and evaluation metrics used in the field. In addition, the paper discusses the challenges and limitations of Text-to-Image and Text-to-Video AI generations, as well as future research directions. Overall, these models have promising potential for a wide range of applications such as video production, content creation, and digital marketing.