Summary of From Words to Worlds: Transforming One-line Prompt Into Immersive Multi-modal Digital Stories with Communicative Llm Agent, by Samuel S. Sohn and Danrui Li and Sen Zhang and Che-jui Chang and Mubbasir Kapadia
From Words to Worlds: Transforming One-line Prompt into Immersive Multi-modal Digital Stories with Communicative LLM Agent
by Samuel S. Sohn, Danrui Li, Sen Zhang, Che-Jui Chang, Mubbasir Kapadia
First submitted to arxiv on: 15 Jun 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Graphics (cs.GR)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The StoryAgent framework is an innovative solution for automating digital storytelling, addressing challenges in production scalability and flexibility. This paper introduces Large Language Models and generative tools to refine and automate the process. The framework employs a top-down approach for story drafting and a bottom-up approach for asset generation, tackling issues like manual intervention, interactive scene orchestration, and narrative consistency. By enabling efficient production of interactive and consistent narratives across multiple modalities, StoryAgent democratizes content creation and enhances engagement. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The StoryAgent framework is a way to make digital storytelling easier and faster. It uses special computer models and tools to help create stories that are interesting and easy to understand. The framework has two parts: one for planning the story and another for creating the things needed to tell it, like characters or settings. This helps solve problems like needing people to manually create scenes or make sure the story makes sense. StoryAgent lets creators make many different types of stories without needing a lot of help, which is good for making content and keeping people engaged. |
