关键词: 生成式AI, 生产重构, 智能匹配, 审美提升

Abstract:

As a new form of productive forces in culture, generative AI is revolutionizing the creative conception and aesthetic presentation of audio-visual works through digital empowerment. Based on the case study of audio-visual works generated by the CCTV audio-visual media large model, this paper explores the creation of AIGC audio-visual works from three aspects: “productive reconstruction” of creative paths, “intelligent matching” of creative content, and “aesthetic empowerment” of artistic expression. In AI-driven production, from instruction interaction to creative co-construction, from realistic imitation to virtual reality, and from linear narration to story generation systems, the reconstruction of creative subjects, audio-visual scenes, and narrative techniques is realized. Overall, AI-based matching leverages multimodal fusion technology, cognitive dynamic logic, and ecological collaborative value. It achieves progressive innovation from the technical bottom layer to cognitive logic, and then to the ecological dimension. Finally, through an AI-based presentation, it demonstrates data-driven formal aesthetics, dynamic translation of classic culture, and paradigm innovation of Oriental aesthetics. In the future, AIGC needs to improve the people-oriented human-machine collaboration mechanism to produce richer audio-visual cultural expressions.

Key words: Generative AI, Creative Reconstruction, Intelligent Matching, Aesthetic Empowerment