Long-video generation has been a topic of interest in recent years, with various models proposed to generate videos of varying lengths. However, these models struggle when faced with complex scenarios that contain multiple events. To address this challenge, researchers have proposed the use of prompt engineering, which involves breaking down long sentences into shorter, more manageable parts. In this article, we explore the concept of prompt engineering and its application in long-video generation.
Prompt Engineering
Prompt engineering is a technique that involves modifying long sentences to create multiple short sentences, each focusing on a specific action verb. By following five rules, these short sentences can be transformed into concise and comprehensible prompts for video generation. The rules are as follows:
- Each short sentence must contain only one action verb, and its tenses and forms should match those mentioned in the long sentence.
- Each short sentence must be self-contained, following the order of subject, verb, and background.
- Each short sentence should contain all background information related to the main verb of a short sentence.
- Each short sentence should not include any verbs other than the {The Number of Prompt} main verbs.
- Each short sentence maintains the present tense, present progressive tense, and present participle as expressed in the long sentence.
Applications
By applying prompt engineering to a given scenario, we can create multiple prompts that capture different aspects of the scenario. For instance, if we have a long sentence describing a man riding a bicycle on a beautiful tropical beach at sunset, we can break it down into several short sentences focusing on different actions, such as "The man pedals," "The man slows down," or "The man lies down." These short sentences can then be used to generate a video that captures the entire scenario without feeling overwhelming.
Ablation Study
To evaluate the effectiveness of prompt engineering, we conducted an ablation study comparing the generated videos using prompt engineering with those created without it. Our results show that prompt engineering significantly improves the comprehensibility and engagement of the generated videos, as rated by human evaluators. This demonstrates that prompt engineering is a valuable technique for long-video generation, particularly when dealing with complex scenarios.
Conclusion
In conclusion, prompt engineering is a powerful technique for long-video generation that simplifies complex scenarios into manageable parts. By breaking down long sentences into shorter, more focused short sentences, we can create concise and comprehensible prompts for video generation. Our ablation study demonstrates the effectiveness of this technique in improving the quality of generated videos. As the field of long-video generation continues to evolve, we expect prompt engineering to play an increasingly important role in demystifying complex concepts and creating engaging videos that capture the essence of the scenario.
