HCAICVGRMMSep 25, 2023

Innovative Digital Storytelling with AIGC: Exploration and Discussion of Recent Advances

arXiv:2309.14329v210 citationsh-index: 7
Originality Synthesis-oriented
AI Analysis

This study addresses the problem of cost-quality balance in digital storytelling for creators and the public, but it is incremental as it primarily reviews and discusses existing issues without introducing new methods.

This work explored the integration of AI-generated content (AIGC) with digital storytelling, finding that while AIGC excels in tasks like image creation and music composition, it cannot replace human creativity in areas such as complex animations and facial expressions.

Digital storytelling, as an art form, has struggled with cost-quality balance. The emergence of AI-generated Content (AIGC) is considered as a potential solution for efficient digital storytelling production. However, the specific form, effects, and impacts of this fusion remain unclear, leaving the boundaries of AIGC combined with storytelling undefined. This work explores the current integration state of AIGC and digital storytelling, investigates the artistic value of their fusion in a sample project, and addresses common issues through interviews. Through our study, we conclude that AIGC, while proficient in image creation, voiceover production, and music composition, falls short of replacing humans due to the irreplaceable elements of human creativity and aesthetic sensibilities at present, especially in complex character animations, facial expressions, and sound effects. The research objective is to increase public awareness of the current state, limitations, and challenges arising from combining AIGC and digital storytelling.

Foundations

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