AI summary · arXiv: 2309.14329v2 · cs.HC

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

Rongzhang Gu, Hui Li, Changyue Su, Wayne Wu

Original paper · DOI Submitted to arXiv on 25 Sep. 2023 Project page: https://lsgm-demo.github.io/Leveraging-recent-advances-of-foundation-models-for-story-telling/ License: CC BY-NC-SA 4.0

The essentials

  • Study by researchers from Shanghai AI Laboratory and New York University on integration of AI-generated Content (AIGC) with digital storytelling
  • Potential of AIGC in enhancing production efficiency, particularly in image creation, voiceover production, and music composition
  • Sample project called Naked Monkey’s Happy Discovery (N.M.H.D) utilizes AIGC tools for generating multimedia elements with minimal human intervention
  • Acknowledgment of limitations of AIGC and emphasis on the irreplaceable role of human creativity in complex areas like character animations and sound effects
  • Promising technical pipeline demonstrated for digital story creation heavily reliant on AIGC technology
  • Exploration of practical and ethical issues surrounding the fusion of AIGC with digital storytelling through interviews within creative industries
  • Advice provided for technological development of AIGC and its impact on the landscape of digital storytelling
  • Aim to increase public awareness about advantages and challenges of combining AIGC with digital storytelling, showcasing artistic value and potential implications for future storytelling practices.

Key points written by AI: they may contain errors, check them against the paper.

AI-generated keywords: AI-generated Content digital storytelling production efficiency AIGC technology artistic value

Read further

  • Comprehensive Summary
  • Layman's Summary
  • Blog article
  • Original abstract
This study by researchers from Shanghai AI Laboratory and New York University delves into the integration of AI-generated Content (AIGC) with digital storytelling. The potential of AIGC in enhancing production efficiency is highlighted, particularly in image creation, voiceover production, and music composition. The team presents a sample project called Naked Monkey’s Happy Discovery (N.M.H.D), which utilizes AIGC tools to generate various multimedia elements such as scripts, character appearances, scene images, animations, audio, and video content with minimal human intervention. While AIGC shows promise in streamlining the creative process, the study also acknowledges its limitations and emphasizes the irreplaceable role of human creativity and aesthetic sensibilities in complex areas such as character animations and sound effects. The research team demonstrates a promising technical pipeline for digital story creation heavily reliant on AIGC technology. Additionally, the study delves into practical and ethical issues surrounding this fusion. Through interviews within the creative industries, valuable insights are gathered to address concerns about the evolving relationship between art and technology. The researchers provide advice for the technological development of AIGC and its impact on the landscape of digital storytelling. Overall, this research aims to increase public awareness of the current state of AIGC combined with digital storytelling while highlighting both its advantages and challenges. By showcasing a pioneering experiment and engaging in discussions with industry professionals, the study offers a comprehensive analysis of this fusion's artistic value and potential implications for future storytelling practices.

Was this synthesis useful?

Score: 0

Why do we need votes?

Votes are used to determine whether we need to re-run our summarizing tools. If the count reaches -10, our tools can be restarted.

Ask questions about this paper to our AI assistant

Compare with the PDF

You can also chat with multiple papers at once here.

Figures and plots

Ask about a figure by number or use its question button to request visual analysis. Up to two figures and four image panels per question. Values read from plots are approximate; check the original data.

AI assistant instructions?

Tools for this paper

Explain it differently 3 free rewrites left today
Save to a collection Group papers in collections to compare them, chat with them and export them. Create a free account Log in

Advanced tools Premium

For researchers who follow a field closely: citation alerts, journal-club slides, version comparison and Zotero export. Discover Premium

Zotero
Citation alerts
Journal club Premium+ Slides to present it
For journalists Premium+ Press kit and hype check

Similar papers summarized with our AI tools

Navigate through even more similar papers through a

tree representation

The previous summary was created more than a year ago and can be re-run (if necessary) by clicking on the Run button below.

Disclaimer: The AI-based summarization tool and virtual assistant provided on this website may not always provide accurate and complete summaries or responses. We encourage you to carefully review and evaluate the generated content to ensure its quality and relevance to your needs.