A Dive into Text-to-Video Models — Diffusion and Challenges

AI Impact Summary

The emergence of text-to-video models represents a significant advancement in generative AI, building upon the success of text-to-image models. Current approaches, primarily diffusion-based, face challenges related to computational cost, dataset scarcity, and the ability to generate long, coherent videos. The field is rapidly evolving with models like Video LDM and Runway Gen2 demonstrating improved capabilities, but limitations remain regarding context length and the need for autoregressive generation strategies.