Implementation and application of visual understanding techniques
UI-TARS-desktop's visual comprehension capability is its core competence that distinguishes it from traditional automation tools. The system uses advanced computer vision algorithms to analyze screen shots, and is able to recognize all kinds of UI components (e.g., buttons, input boxes, menus, etc.) and their spatial layout relationships.The Seed-1.5-VL/1.6 visual language model empowers the tool to comprehend the semantics of the interface, for example, recognizing the "Save" button or determining how data are arranged in the table. data arrangement in a table.
This technical implementation brings three key advantages: 1) high versatility, not limited to application-specific APIs or DOM structures; 2) adapting to dynamic interface changes, even if the UI is updated without affecting the recognition effect; and 3) supporting non-standard control operations and being able to handle custom-developed interface elements. In practical applications, this system can accurately simulate human operation modes, such as dragging and dropping icons in the file manager, adjusting tool parameters in Photoshop, and other complex interaction scenarios.
This answer comes from the articleUI-TARS Desktop: Desktop Intelligentsia Application for Computer Control Using Natural LanguageThe
