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Graphical User Interface (GUI) agents are designed to automate complex taskson digital devices, such as smartphones and desktops. Most existing GUI agentsinteract with the environment through extracted structured data, which can benotably lengthy (e.g., HTML) and occasionally inaccessible (e.g., on desktops).To alleviate this issue, we propose a visual GUI agent -- SeeClick, which onlyrelies on screenshots for task automation. In our preliminary study, we havediscovered a key challenge in developing visual GUI agents: GUI grounding --the capacity to accurately locate screen elements based on instructions. Totackle this challenge, we propose to enhance SeeClick with GUI groundingpre-training and devise a method to automate the curation of GUI groundingdata. Along with the efforts above, we have also created ScreenSpot, the firstrealistic GUI grounding dataset that encompasses mobile, desktop, and webenvironments. After pre-training, SeeClick demonstrates significant improvementin ScreenSpot over various baselines. Moreover, comprehensive evaluations onthree widely used benchmarks consistently support our finding that advancementsin GUI grounding directly correlate with enhanced performance in downstream GUIagent tasks. The model, data and code are available athttps://github.com/njucckevin/SeeClick.

SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents