RINO: Unified Vision Model Treats All Visual Tasks as RGB-to-RGB Editing

Jul 15, 2026

Researchers introduce RINO (RGB In and RGB Out), a unified vision model that reformulates diverse visual tasks—including segmentation, depth estimation, and pose-to-image generation—as RGB-to-RGB image editing problems. Using a single architecture and shared parameters, RINO achieves robust zero-shot performance across tasks without task-specific fine-tuning. This approach aims to establish a shared visual interface, analogous to how language models operate over text.

Why it matters: RINO demonstrates a significant step toward unified vision models capable of handling multiple tasks with a single architecture, potentially simplifying deployment and advancing general visual understanding.

Full story at: arXiv Computer Vision ↗