Ovis-U1 Technical Report
Guo-Hua Wang, Shanshan Zhao, Xinjie Zhang, Liangfu Cao, Pengxin Zhan, Lunhao Duan, Shiyin Lu, Minghao Fu, Xiaohao Chen, Jianshan Zhao, Yang Li, Qing-Guo Chen
2025-07-01
Summary
This paper talks about Ovis-U1, a powerful AI model with 3 billion parameters that combines multiple abilities like understanding images, creating pictures from text, and editing images into one system.
What's the problem?
Usually, different AI models specialize in separate tasks like image recognition, image generation, or editing, which means using multiple models to get all the features or facing limitations in performance.
What's the solution?
The creators of Ovis-U1 designed a unified model that trains all these tasks together using a special approach, including a diffusion-based visual decoder and a bidirectional token refiner that help the model better connect text and visual information. This joint training helps the model perform very well across all tasks and work more smoothly.
Why it matters?
This matters because having one AI that can understand, create, and edit images and text makes technology more efficient and powerful, opening up possibilities for better tools in art, education, and communication.
Abstract
Ovis-U1, a 3-billion-parameter unified model, integrates multimodal understanding, text-to-image generation, and image editing using a diffusion-based visual decoder and bidirectional token refiner, achieving state-of-the-art performance across various benchmarks.