arXiv:2605.23508v1 Announce Type: cross Abstract: Long video generation requires high-fidelity synthesis, coherent narrative structure, and user control over extended time spans. Existing text-to-video methods often rely on a single long prompt, limiting control over pose, composition, layout, and motion. We propose DrawVideo, a sketch-guided, storyboard-driven framework for controllable long-video generation. DrawVideo decomposes long videos into independently controllable shots, each defined by a black-and-white sketch, an appearance prompt, and a motion prompt. The sketch controls pose and
Advances in generative AI models are rapidly enabling more granular control and longer content generation, pushing the boundaries of what is possible in video synthesis.
This development allows for greater control and scalability in video creation, potentially democratizing professional-grade video production and impacting various industries from entertainment to marketing.
Video generation is moving from single-prompt, limited control outputs to storyboard-driven, independently controllable long-form content generation with enhanced fidelity.
- · Small creative studios
- · Independent content creators
- · AI video tool developers
- · Marketing agencies
- · Traditional video production houses with high overheads (long-term)
- · Stock video libraries (long-term)
- · Entry-level video editors
More accessible and higher quality video content will flood digital platforms.
The demand for original visual concepts and storyboard artists will increase, even as execution becomes automated.
The very nature of 'original content' and intellectual property ownership in video could be fundamentally reshaped by AI-generated narratives.
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Read at arXiv cs.AI