Liu, Quan; Cui, Can; Deng, Ruining; Yao, Tianyuan; Yang, Yuechen; Tang, Yucheng; Huo, Yuankai. “Write Sentence with Images: Revisit the Large Vision Model with Visual Sentence.” IS and T International Symposium on Electronic Imaging Science and Technology 37, no. 12 (2025): HPCI-172. https://doi.org/10.2352/EI.2025.37.12.HPCI-172.
This paper presents a new method for creating high-quality images from “visual sentences”—basically, meaningful snapshots pulled from video clips. The team combined two types of AI models: a lightweight model that predicts sequences and another that helps create realistic images. This combo allows the system to generate accurate and detailed images while using fewer computer resources than traditional approaches.
Unlike other methods that need lots of data and power, this approach works efficiently even with only partially labeled video frames. It produces smooth, context-aware images and performs especially well in real-time situations or on devices with limited computing power.
The method also shows promise in medical imaging—helping clean up noisy images, adjust lighting, and separate different parts of an image. In short, this work offers a smart, efficient way to generate high-quality images across many fields, from everyday video content to medical analysis.
