The Transformation and Prospect of Content Creation Driven by AIGC

Abstract

This paper delves into the technological evolution of generative AI and elaborates on its various application forms in the field of image creation, such as image-to-video generation, style transfer, digital human creation, and 3D model generation. On this basis, it further explores effective strategies for guiding AIGC to achieve efficient creation, aiming to provide theoretical and practical references for promoting the deep integration of generative AI and content creation. At the same time, it analyzes the key challenges faced by AIGC in the content creation process, including the lack of content rationality, the ambiguity of copyright and originality, and cultural and ethical risks. Taking the 3D animation industry as a typical case, it deeply analyzes its application status and industry pain points.