AIGC Multimodal Fusion Drives the Optimisation and Reshaping of Short Video Creation Process

In recent years, the development of artificial intelligence generated content (AIGC) technology has brought unprecedented changes to digital content creation. The continuous emergence of AIGC applications on short video platforms represented by TikTok enables content creators to create high-quality short video content at a lower cost and higher efficiency through technologies such as generative adversarial networks and natural language processing. With the widespread application of AIGC tools in the short video creation process, it is crucial to understand the impact of AIGC on content creation, creator experience, user interaction, and platform supervision. The integration of AIGC with multimodal fusion technologies is revolutionising the short video creation process. By seamlessly combining textual, visual, auditory, and contextual inputs, AIGC-driven multimodal fusion enhances creative workflows, enabling optimised content production with heightened efficiency and personalisation. This approach leverages deep learning models to interpret and synthesise diverse data streams, fostering dynamic storytelling and engaging user experiences. Key advancements include automated scene generation, real-time video editing, and adaptive narrative designs that resonate with audience preferences.