The challenging endeavour of text-to-video creation requires transforming text descriptions into realistic and cohesive videos.This field of study has made substantial progress in recent years, with USB Type C the development of diffusion models and generative adversarial networks (GANs).This study examines the most modern text-to-video generation models, as well as the various steps involved in text-to-video generation,including temporal coherence, video generation, and text encoding.
We additionally emphasise the challenges involved with text-to-video generation, as well as recent advances to overcome these Balms issues.The most frequently used datasets and metrics in this field are also analysed and reviewed [JJCIT 2024; 10(2.000): 198-213].