Summary of Storyagent: Customized Storytelling Video Generation Via Multi-agent Collaboration, by Panwen Hu et al.
StoryAgent: Customized Storytelling Video Generation via Multi-Agent Collaboration
by Panwen Hu, Jin Jiang, Jianqi Chen, Mingfei Han, Shengcai Liao, Xiaojun Chang, Xiaodan Liang
First submitted to arxiv on: 7 Nov 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Multiagent Systems (cs.MA)
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| 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 proposed StoryAgent framework is a multi-agent system designed specifically for Customized Storytelling Video Generation (CSVG), tackling the challenges of maintaining subject consistency across shots. Building upon existing approaches like Mora and AesopAgent, StoryAgent decomposes CSVG into distinct subtasks assigned to specialized agents, mirroring the professional production process. This framework includes agents for story design, storyboard generation, video creation, agent coordination, and result evaluation. By leveraging different models’ strengths, StoryAgent enhances control over the generation process, significantly improving character consistency. The proposed customized Image-to-Video (I2V) method, LoRA-BE, improves intra-shot temporal consistency, while a novel storyboard generation pipeline maintains subject consistency across shots. Experimental results demonstrate the effectiveness of StoryAgent in synthesizing highly consistent storytelling videos, outperforming state-of-the-art methods. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary StoryAgent is a new way to make videos that tells stories with characters that are consistent throughout. Right now, making videos like this is hard because it’s hard to keep the character’s story straight across all the shots. The StoryAgent team came up with a plan to break down the process into smaller tasks and assign them to different “agents” that work together to make the video. This way, they can control how the characters are portrayed better. They also created new ways to make sure the video looks good and the character’s story stays consistent. |
Keywords
» Artificial intelligence » Lora
