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

TL;DR

This paper explores the integration of AI-generated Content (AIGC) in digital storytelling, analyzing its current capabilities, limitations, and artistic value through a sample project and interviews, highlighting that AIGC enhances production but cannot fully replace human creativity.

Contribution

It provides an in-depth analysis of AIGC's role in digital storytelling, identifying current strengths, limitations, and the need for human artistic input, which is a novel exploration of this fusion.

Findings

AIGC excels in image, voiceover, and music creation.

AIGC cannot replace human creativity in complex animations.

Current limitations include challenges in character expressions and sound effects.

Abstract

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.