GroundGUI training and evaluation code
Code for screenshot grounding through supervised training, teacher-guided distillation, reinforcement learning, and benchmark evaluation.
Source-reviewed research and assets tagged with GUI grounding.
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Code for screenshot grounding through supervised training, teacher-guided distillation, reinforcement learning, and benchmark evaluation.
ScreenSpot-Pro evaluation harness with explicit coordinate transforms, prompt and crop-based inference comparisons, and per-sample grounding accuracy and cost records.
GUI-grounding research code for spatial voting across sampled predictions and test-time policy optimization using region-consistency rewards.
Query-inference training tools connecting screenshot grounding with GUI action reasoning, including preprocessing, query refinement and offline single-step evaluation on AndroidControl and AITZ.
Published MAI-UI grounding and navigation-agent implementations with inference demos and evaluation scripts.
A maintained continuation of SikuliX that locates on-screen targets with image matching and OCR, drives desktop or Android interfaces, and exposes scripting and optional MCP interfaces.
Screenshot parser that detects interactable regions and captions icons so vision-language models can ground actions, released as V1.5 and V2 weights alongside OmniTool for driving a Windows 11 VM.
A shared evaluation harness for GUI-model perception, offline action prediction and multi-step interaction, using simple smolagents-based agents across existing benchmarks.
Generalist web agent framework for large multimodal models such as GPT-4V, with a Playwright tool that runs agents on live websites, text-choice and set-of-mark grounding, and a crawler mode.
Training and inference implementation that predicts an executable-region mask and derives a GUI click from that mask.
Framework, released in November 2023, in which a multimodal model views the screen and picks mouse and keyboard actions toward a goal, with backends such as GPT-4o, Claude 3, Gemini and LLaVA.
Visual-prompting toolbox that labels image regions for multimodal reference and grounding, including GUI applications.
The original Sikuli source distribution combines screenshot targets with a Jython scripting library and IDE for visual GUI automation and testing.
Grounding and evaluation code that aggregates a pretrained vision-language model’s attention maps to localize requested interface elements without fine-tuning.
Training configurations, preprocessing and inference examples for tutorial-trained GUI models, with a LLaMA-Factory fine-tuning workflow and screenshot-grounding interfaces.
VideoCADFormer training, action-log preprocessing and evaluation code for learning CAD interface action sequences from screen recordings of browser-based Onshape.
A browser library that labels interactive elements and their boxes for visual prompting, preserving element mappings that automation code can use to execute selected actions.
Training and evaluation code for question-guided website navigation that combines visual observations with web-specific HTML information.
GUI-grounding training and evaluation code with same-family distillation, GRPO recipes and point-in-box scoring, using a Windows-style web environment.
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