人工智能辅助下的视觉叙事模式创新研究

摘    要

随着人工智能技术的快速发展,其在视觉叙事领域的应用日益广泛。本研究旨在探讨人工智能辅助下的视觉叙事模式创新路径,通过深度学习方法构建智能叙事框架,突破传统叙事模式的局限。研究采用混合研究方法,结合定量分析与案例研究,对人工智能生成图像、视频等视觉内容的叙事效果进行系统性评估。实验结果表明,基于生成对抗网络和自然语言处理的智能叙事系统能够有效提升叙事的沉浸感和互动性,在情感表达和情节连贯性方面展现出显著优势。研究发现,AI辅助叙事不仅能够实现多模态信息的深度融合,还可根据用户反馈实时调整叙事策略,为个性化叙事体验提供技术支持。本研究的创新点在于提出了"人机协同"的视觉叙事范式,建立了基于深度学习的叙事质量评价体系,为数字时代的视觉创作提供了新的方法论指导。研究成果对影视制作、游戏设计、数字出版等领域的创新发展具有重要参考价值,同时也为人工智能与艺术创作的深度融合提供了理论依据和实践路径。

关键词:人工智能  视觉叙事  深度学习  生成对抗网络


Abstract

With the rapid development of artificial intelligence technology, its application in the field of visual narrative is increasingly extensive. This study aims to explore the innovative path of visual narrative mode assisted by artificial intelligence, build intelligent narrative fr amework through deep learning, and break through the limitations of traditional narrative mode. This study adopts a hybrid research method, combined with quantitative analysis and case studies, to systematically evaluate the narrative effect of visual content such as images and videos generated by artificial intelligence. The experimental results show that the intelligent narrative system based on generative adversarial network and natural language processing can effectively improve narrative immersion and interactivity, and show significant advantages in emotional ex pression and plot coherence. The study found that AI-assisted narrative can not only achieve the deep integration of multi-modal information, but also adjust narrative strategies in real time according to user feedback to provide technical support for personalized narrative experience. The innovation of this research is that it puts forward a visual narrative paradigm of "human-machine collaboration" and establishes a narrative quality evaluation system based on deep learning, which provides a new methodology guidance for visual creation in the digital age.

Keyword:Artificial intelligence  Visual narrative  Deep learning  Generative adversarial network


目    录

1绪论 1

1.1研究背景及意义 1

1.2视觉叙事模式创新的研究意义 1

2人工智能技术在视觉叙事中的应用基础 2

2.1计算机视觉技术对叙事的支撑作用 2

2.2自然语言处理在叙事生成中的应用 2

2.3深度学习驱动的叙事模式创新 3

3人工智能辅助下的视觉叙事模式创新路径 3

3.1多模态融合的叙事表达机制 3

3.2动态交互式叙事模式的构建 4

3.3个性化叙事内容的智能生成 5

4人工智能辅助视觉叙事的实践案例分析 5

4.1影视创作中的AI叙事应用 6

4.2数字艺术领域的创新实践 6

4.3教育传播中的可视化叙事探索 7

5结论 7

参考文献 8

致谢 9

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