Year: 2024
Type: article
Abstract: This study aims to explore and analyze the application of AIGC technology in digital human video creation, in order to achieve the goal of efficient conversion generation and personalized content production. This study adopted a systematic analysis method to integrate and apply various technologies of AIGC. On this basis, an innovative digital human video generation link was designed by combining deep learning technology and multimodal data fusion methods. Taking commercial digital human image videos as an example, this study combines the digital human image features favored by target users with AIGC technology to create generative digital human images, and summarizes an innovative digital human video generation chain. The design and application of the AIGC digital human video generation chain provide new impetus for the development of the digital human industry. By continuously exploring and optimizing the application of AIGC technology in digital human video creation, designers will create richer, more vivid, and personalized digital human video content in the future, promoting the further development and application of digital human technology in commercial promotion and media communication.
Authors: Yingyin Huang, Yunzhen Ye
Institution: Zhejiang University of Technology
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4405589911