The Evolution and Future Perspectives of Artificial Intelligence Generated Content
Journal:
arXiv
Published Date:
Dec 2, 2024
Abstract
Artificial intelligence generated content (AIGC), a rapidly advancing
technology, is transforming content creation across domains, such as text,
images, audio, and video. Its growing potential has attracted more and more
researchers and investors to explore and expand its possibilities. This review
traces AIGC's evolution through four developmental milestones-ranging from
early rule-based systems to modern transfer learning models-within a unified
framework that highlights how each milestone contributes uniquely to content
generation. In particular, the paper employs a common example across all
milestones to illustrate the capabilities and limitations of methods within
each phase, providing a consistent evaluation of AIGC methodologies and their
development. Furthermore, this paper addresses critical challenges associated
with AIGC and proposes actionable strategies to mitigate them. This study aims
to guide researchers and practitioners in selecting and optimizing AIGC models
to enhance the quality and efficiency of content creation across diverse
domains.
