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面向影视创作的AIGC可控生成与溯源技术进展研究OA

Research on advances in controllable generation and traceability technology of AIGC for film and television production

中文摘要英文摘要

影视内容创作是兼具工业化生产特征与艺术审美表达的高度复杂活动.人工智能生成内容(AIGC)技术的兴起,在为影视创作注入全新活力并大幅提升生产效能的同时,也带来了生成结果难以精准调控、版权归属模糊及合规性风险剧增等现实挑战.本文立足于影视工业化发展视域,系统构建并梳理了人工智能(AI)视觉生成的可控技术体系与溯源技术规范.通过深度剖析这两大核心技术方向在影视创作全生命周期的落地路径,本文探索了AIGC深度融入专业影视工作流的合规化演进策略.研究指出,AIGC并非是取代人类创作的颠覆性工具,而是赋能影视工业化转型升级的人机协同生产新范式.影视从业者应在坚守创作主体地位的基础上,依托可控生成与鲁棒溯源技术,筑牢行业治理与合规底线,最终实现影视工业从创意释放到提质增效的高质量跨越式发展.

Film and television production is a complex endeavor that integrates individual artistic expression with systemic industrial characteristics.While artificial intelligence generated content(AIGC)has introduced unprecedented creative vital-ity and enhanced production efficiency,it has also presented critical challenges concerning precise controllability,copyright ambiguity,and regulatory compliance.From the perspective of film and television industrialization,this paper systematically constructs a framework for controllable visual generation and content provenance protocols.By analyzing the implementa-tion pathways of these two technical domains throughout the production lifecycle,this study explores a path for the compli-ant integration of AIGC into professional film workflows.The findings suggest that AIGC serves not as a disruptive substi-tute for human creativity,but rather as a human-AI collaborative paradigm that facilitates industrial upgrading.It is impera-tive for practitioners to maintain their creative agency while leveraging controllability and robust watermarking technologies to establish a foundation for industrial trust and regulatory compliance.Ultimately,this synergy aims to achieve the high-quality,leapfrog development of the film industry through the liberation of creative potential and systemic optimization of production efficiency.

王岚君;李英健;宋丹

天津大学新媒体与传播学院,天津 300072天津大学新媒体与传播学院,天津 300072天津大学电气自动化与信息工程学院,天津 300072

社会科学

影视工业化人工智能生成内容(AIGC)可控生成内容溯源数字水印

Film and Television IndustrializationArtificial Intelligence Generated Content(AIGC)Controllable GenerationContent ProvenanceDigital Watermarking

《现代电影技术》 2026 (5)

4-12,9

国家自然科学基金面上项目"可溯源的精准图像生成关键技术研究"(62571369).

10.3969/j.issn.1673-3215.2026.05.001

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