  Text-to-video generation task has witnessed a notable progress, with the
generated outcomes reflecting the text prompts with high fidelity and
impressive visual qualities. However, current text-to-video generation models
are invariably focused on conveying the visual elements of a single scene, and
have so far been indifferent to another important potential of the medium,
namely a storytelling. In this paper, we examine text-to-video generation from
a storytelling perspective, which has been hardly investigated, and make
empirical remarks that spotlight the limitations of current text-to-video
generation scheme. We also propose an evaluation framework for storytelling
aspects of videos, and discuss the potential future directions.
