fix README.md

README.md

@@ -9,18 +9,14 @@ pipeline_tag: image-to-3d
 <h1>Streaming 4D Visual Geometry Transformer</h1>
 </div>
 
-### [Paper](https://arxiv.org/abs/2507.11539)  | [Project Page](https://wzzheng.net/StreamVGGT) 
+Dong Zhuo\*, [Wenzhao Zheng](https://wzzheng.net/)\*†,  Jiahe Guo, Yuqi Wu, [Jie Zhou](https://scholar.google.com/citations?user=6a79aPwAAAAJ&hl=en&authuser=1), [Jiwen Lu](http://ivg.au.tsinghua.edu.cn/Jiwen_Lu/)
 
->Streaming 4D Visual Geometry Transformer
-
->Dong Zhuo<sup>\*</sup>, [Wenzhao Zheng](https://wzzheng.net/)<sup>*</sup>$\dagger$,  Jiahe Guo, Yuqi Wu, [Jie Zhou](https://scholar.google.com/citations?user=6a79aPwAAAAJ&hl=en&authuser=1), [Jiwen Lu](http://ivg.au.tsinghua.edu.cn/Jiwen_Lu/)
-
-<sup>*</sup> Equal contribution. $\dagger$ Project leader.
+\* Equal contribution. † Project leader.
 
+[Paper](https://arxiv.org/abs/2507.11539) | [Project Page](https://wzzheng.net/StreamVGGT) 
 
 **StreamVGGT**, a causal transformer architecture for **real-time streaming 4D visual geometry perception** compatiable with LLM-targeted attention mechanism (e.g., [FlashAttention](https://github.com/Dao-AILab/flash-attention)), delivers both fast inference and high-quality 4D reconstruction.
 
-
 ## Overview
 
 Given a sequence of images, unlike offline models that require reprocessing the entire sequence and reconstructing the entire scene upon receiving each new image, our StreamVGGT employs temporal