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.

通过调研文献并分析各项研究方法，该篇论文综述了文本到图像和文本到视频 AI 生成的前沿方法，包括数据预处理技术、神经网络类型以及评估指标。此外，论文还讨论了文本到图像和文本到视频 AI 生成的挑战、限制以及未来研究方向。总体而言，这些模型在视频制作、内容创作和数字营销等广泛应用领域具有巨大潜力。