---
id: 20261018-T0-08
title: "文生视频常搞错先后顺序：用形式化时序规约约束生成过程"
title_en: "Text-to-Video Models Miss Ordering; Formal Temporal Specifications Guide Generation"
url: https://ai.daily.yangsir.net/daily/20261018-T0-08
issue_date: 2026-10-18
publish_date: 2026-10-17T04:00:00.000Z
category: research
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2610.20822
---

# 文生视频常搞错先后顺序：用形式化时序规约约束生成过程

论文指出文生视频模型的一个常见问题：模型能生成提示词里要求的视觉概念，但满足不了这些概念的先后顺序、时间点和持续时长要求。作者提出把这些要求表示为形式化时序逻辑中的规约，用规约指导生成过程，而不是只靠自然语言提示。这针对的是当前文生视频在叙事连贯性和动作时序上的短板。对做视频生成的开发者，这条路线意味着可控性可以从提示工程转向可验证的形式化约束。

## English Version

**Text-to-Video Models Miss Ordering; Formal Temporal Specifications Guide Generation**

Text-to-video models often generate the visual concepts requested in natural language prompts but fail to satisfy their intended ordering, timing, and persistence requirements. The authors propose representing these requirements as specifications in a formal temporal logic and using those specifications to guide generation, rather than relying on natural language prompts alone. The work targets a known weakness in narrative coherence and action timing. For video generation developers, it suggests controllability can shift from prompt engineering toward verifiable formal constraints.

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**来源**：[arXiv cs.AI](https://arxiv.org/abs/2610.20822)

**详情页**：https://ai.daily.yangsir.net/daily/20261018-T0-08

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