VideoGUI: A Benchmark for GUI Automation from Instructional Videos
Kevin Qinghong Lin , Linjie Li , Difei Gao , Qinchen Wu , Mingyi Yan , Zhengyuan Yang , Lijuan Wang , Mike Zheng Shou
- 🏛 Institutions
- Show Lab , NUS , Microsoft
- 📅 Date
- June 14, 2024
- 📑 Publisher
- NeurIPS 2024 Datasets and Benchmarks Track
- 💻 Env
- Desktop
- 🔑 Keywords
TLDR
VideoGUI is a desktop GUI benchmark built from high-quality instructional videos covering visual-centric software such as Photoshop, video editing tools, and Stable Diffusion WebUI. It evaluates assistants at high-level planning, middle-level action narration, and atomic execution, and finds that even GPT-4o performs poorly on these visually specified tasks.
Related papers (24)
- VenusBench-GD: A Comprehensive Multi-Platform GUI Benchmark for Diverse Grounding TasksDecember 18, 2025 · arXiv
- GUI-CEval: A Hierarchical and Comprehensive Chinese Benchmark for Mobile GUI AgentsMarch 16, 2026 · CVPR 2026
- Workflow-GYM: Towards Long-Horizon Evaluation of Computer-use Agentic tasks in Real-World Professional FieldsJune 9, 2026 · arXiv
- WindowsWorld: A Process-Centric Benchmark of Autonomous GUI Agents in Professional Cross-Application EnvironmentsApril 30, 2026 · arXiv
- The Blind Spot of Agent Safety: How Benign User Instructions Expose Critical Vulnerabilities in Computer-Use AgentsApril 12, 2026 · arXiv
- HealthAdminBench: Evaluating Computer-Use Agents on Healthcare Administration TasksApril 10, 2026 · arXiv
- Gym-Anything: Turn any Software into an Agent EnvironmentApril 7, 2026 · arXiv
- HippoCamp: Benchmarking Contextual Agents on Personal ComputersApril 1, 2026 · arXiv
- PIRA-Bench: A Transition from Reactive GUI Agents to GUI-based Proactive Intent Recommendation AgentsMarch 9, 2026 · arXiv
- OSExpert: Computer-Use Agents Learning Professional Skills via ExplorationMarch 9, 2026 · arXiv
- When Benign Inputs Lead to Severe Harms: Eliciting Unsafe Unintended Behaviors of Computer-Use AgentsFebruary 9, 2026 · arXiv
- When Actions Go Off-Task: Detecting and Correcting Misaligned Actions in Computer-Use AgentsFebruary 9, 2026 · arXiv
- OS-Marathon: Benchmarking Computer-Use Agents on Long-Horizon Repetitive TasksJanuary 28, 2026 · arXiv
- EntWorld: A Holistic Environment and Benchmark for Verifiable Enterprise GUI AgentsJanuary 25, 2026 · arXiv
- MirrorGuard: Toward Secure Computer-Use Agents via Simulation-to-Real Reasoning CorrectionJanuary 19, 2026 · arXiv
- ShowUI-π: Flow-based Generative Models as GUI Dexterous HandsDecember 31, 2025 · arXiv
- OS-Oracle: A Comprehensive Framework for Cross-Platform GUI Critic ModelsDecember 18, 2025 · arXiv
- Using GUI Agent for Electronic Design AutomationDecember 12, 2025 · arXiv
- GUI-360: A Comprehensive Dataset and Benchmark for Computer-Using AgentsNovember 6, 2025 · arXiv
- CUARewardBench: A Benchmark for Evaluating Reward Models on Computer-using AgentOctober 21, 2025 · arXiv
- NaturalGAIA: Pushing the Frontiers of GUI Agents with a Challenging Benchmark and High-Quality Trajectory DatasetAugust 2, 2025 · arXiv
- MCPWorld: A Unified Benchmarking Testbed for API, GUI, and Hybrid Computer Use AgentsJune 9, 2025 · arXiv
- macOSWorld: A Multilingual Interactive Benchmark for GUI AgentsJune 4, 2025 · NeurIPS 2025 (Poster)
- VPI-Bench: Visual Prompt Injection Attacks for Computer-Use AgentsJune 3, 2025 · ICLR 2026 (Poster)