The Evolution of Text to Video Models

Text-to-video generation is significantly more complex than text-to-image, demanding understanding of object movement and temporal consistency. Modern video diffusion models, like VDM, Make-A-Video by Meta AI, Imagen Video, and SORA, tackle these challenges using strategies such as combining image-text and unlabelled video data, spatial and temporal layers, and latent diffusion. Large-scale datasets and computational advancements are expected to drive future innovations in this field.