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README.md

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+## 😮 Highlights
+
+### 💡 Unified visual representation for image and video
+We employ **a set of dynamic visual tokens** to uniformly represent images and videos.
+This representation framework empowers the model to efficiently utilize **a limited number of visual tokens** to simultaneously capture **the spatial details necessary for images** and **the comprehensive temporal relationship required for videos**.
+
+### 🔥 Joint training strategy, making LLMs understand both image and video
+Chat-UniVi is trained on a mixed dataset containing both images and videos, allowing direct application to tasks involving both mediums without requiring any modifications.
+
+### 🤗 High performance, complementary learning with image and video
+Extensive experimental results demonstrate that Chat-UniVi, as a unified model, consistently outperforms even existing methods exclusively designed for either images or videos.
+
 
 ### Inference for Video Understanding
 ```python