%0 Journal Article
%T 名著情境的AI复原与概念呈现设计——以《红楼梦》为例
AI Restoration and Conceptual Presentation Design of Famous Classical Novels—Taking A Dream of Red Mansions as an Example
%A 张博
%A 范硕
%J Design
%P 1400-1413
%@ ****-****
%D 2024
%I Hans Publishing
%R 10.12677/design.2024.96814
%X 随着人工智能的快速发展,其在各个领域的应用日益广泛,特别是在文化和艺术领域,人们正积极探索将人工智能技术与中国优秀传统文化进行有机融合,基于原著内容开拓新的维度,为文化遗产注入现代活力与生机。本文旨在探讨AI技术在名著复原领域的应用及概念呈现的实现方式。研究选取经典小说《红楼梦》作为案例,通过运用AI技术在对其场景复原、人物形象塑造以及情感氛围营造等方面进行视觉复原呈现,使小说的复杂性和多层次性被更深入地理解和展现。研究过程揭示了AI在重现名著场景、塑造人物形象以及渲染情感氛围等方面的显著优势,并总结了人工智能在文化和艺术领域的应用前景,为传统文化的多元化呈现提供了新思路,期望为相关研究和实践提供参考和借鉴。
With the swift advancement of artificial intelligence, its application across various domains is becoming increasingly extensive, particularly in the realm of culture and art. People are proactively exploring the organic integration of artificial intelligence technology and the outstanding traditional Chinese culture, opening up new dimensions based on the original content and infusing modern vitality and vigor into cultural heritages. The aim of this paper is to discuss the application of AI technology in the field of restoring renowned works and the realization of concept presentation. The study selects the classic novel A Dream of Red Mansions as a case and employs AI technology to conduct visual restoration and presentation in the aspects of scene restoration, character image construction and emotional atmosphere creation, enabling a deeper understanding and display of the complexity and multiple levels of the novel. The research process unveils the significant advantages of AI in recreating renowned scenes, shaping characters and rendering emotional atmospheres, and summarizes the application prospects of artificial intelligence in the field of culture and art, providing new ideas for the diversified presentation of traditional culture and hoping to offer references for relevant research and practice.
%K AI技术,
%K 红楼梦,
%K 情境复原
AI Technology
%K A Dream of Red Mansions
%K Scene Restoration
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=103910