Orion: A Unified Visual Agent for Multimodal Perception, Advanced Visual Reasoning and Execution
This addresses the need for production-grade visual intelligence that bridges neural perception with symbolic execution, moving from passive understanding to active, tool-driven capabilities, though it appears incremental as it builds on existing vision-language models and tools.
The paper tackles the problem of achieving precise, multi-step visual intelligence across images, video, and documents by introducing Orion, a visual agent that integrates vision-based reasoning with tool-augmented execution, achieving competitive performance on benchmarks like MMMU, MMBench, DocVQA, and MMLongBench.
We introduce Orion, a visual agent that integrates vision-based reasoning with tool-augmented execution to achieve powerful, precise, multi-step visual intelligence across images, video, and documents. Unlike traditional vision-language models that generate descriptive outputs, Orion orchestrates a suite of specialized computer vision tools, including object detection, keypoint localization, panoptic segmentation, Optical Character Recognition (OCR), and geometric analysis, to execute complex multi-step visual workflows. The system achieves competitive performance across MMMU, MMBench, DocVQA, and MMLongBench while extending monolithic VLM capabilities to production-grade visual intelligence. Through its agentic, tool-augmented approach, Orion enables autonomous visual reasoning that bridges neural perception with symbolic execution, marking the transition from passive visual understanding to active, tool-driven visual intelligence. Try Orion for free at: https://chat.vlm.run Learn more at: https://www.vlm.run/orion