AssistEditor: Multi-Agent Collaboration for GUI Workflow Automation in Video Creation

Graphical User Interface (GUI) Automation has shown significant potential recently. Previous works built GUI Agent systems to handle short-procedure tasks such as element grounding or functional assistance. In this paper, we propose a novel PC-Copilot, AssistEditor, that focuses on automating the video editing workflow. Unlike previous approaches, our system does not require users to input specific commands to control the computer. Instead, users simply describe their requirements, such as the content and style of the video, and upload the necessary materials. The system then autonomously translates these requirements into detailed actions for controlling video understanding models and professional video editing software, e.g., Premiere Pro to produce the final video. This functionality is enabled by a collaborative AI agent framework of multiple GUI agents, each capable of dialogue, knowledge retrieval, and software usage. These agents have distinct roles, including interacting with users to gather requirements, generating storyboards, and performing editing tasks. This approach significantly streamlines the video editing process, making advanced editing accessible to users with varying levels of expertise.