mlsanityData to 14 Oct 2026

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

arXiv 2309.14329 ↗First posted 25 Sep 2023cs.HC cs.AI cs.CVcited by 2

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Abstract (arXiv)

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.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 6 of its 23 references that are in the map. First posted on arXiv 25 Sep 2023.

Builds on

6 of 23 references.

References · 6

  1. 2023Adding Conditional Control to Text-to-Image Diffusion Modelscited by 5,503
  2. 2022Diffusion Models in Vision: A Surveycited by 1,015
  3. 2021A Survey on Neural Speech Synthesiscited by 184
  4. 2020Artificial Intelligence in the Creative Industries: A Reviewcited by 61
  5. 2023Challenges and Remedies to Privacy and Security in AIGC: Exploring the Potential of Privacy Computing, Blockchain, and Beyondcited by 14
  6. 2023AIGC In China: Current Developments And Future Outlookcited by 2

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Citing papers per year: 2024: 2.

2 papers.