Update README.md

README.md

@@ -9,12 +9,12 @@ LiteVGGT is a 3D vision foundation model that significantly boosts vanilla VGGT'
 
 This model was presented in the paper: [LiteVGGT: Boosting Vanilla VGGT via Geometry-aware Cached Token Merging](https://huggingface.co/papers/2512.04939).
 
-- 🏠 [Project Page](https://garlicba.github.io/LiteVGGT/)
+- [Project Page](https://garlicba.github.io/LiteVGGT/)
 - [Code](https://github.com/GarlicBa/LiteVGGT-repo)
 
 ## Overview
 
-For 1000 input images, LiteVGGT achieves a **10\u00d7 speedup** over VGGT while maintaining high accuracy in camera pose and point cloud prediction. Its scalability and robustness make large-scale scene reconstruction more efficient and reliable.
+For 1000 input images, LiteVGGT achieves a **10× speedup** over VGGT while maintaining high accuracy in camera pose and point cloud prediction. Its scalability and robustness make large-scale scene reconstruction more efficient and reliable.
 
 <p align="center">
   <img src="https://github.com/GarlicBa/LiteVGGT-repo/raw/main/assets/teaser.png" alt="teaser" width="100%">