docs: sync Chinese README

README_zh.md

@@ -1,32 +1,41 @@
 <div align="center">
-  <img src="assets/logo/lance-logo.webp" alt="Lance logo" width="300">
-
-  <h1 align="center"><sup>Lance: Unified Multimodal Modeling by Multi-Task Synergy</sup></h1>
-  <p>
-    <strong>
-    <a href="https://scholar.google.com.hk/citations?user=FXxoQlsAAAAJ&hl=zh-CN&oi=ao" style="text-decoration: none; color: inherit;">Fengyi Fu</a><sup>*</sup>, 
-    <a href="https://corleone-huang.github.io/" style="text-decoration: none; color: inherit;">Mengqi Huang</a><sup>*,✉</sup>, 
-    <a href="https://scholar.google.com.hk/citations?user=9ER6nVkAAAAJ&hl=zh-CN&oi=ao" style="text-decoration: none; color: inherit;">Shaojin Wu</a><sup>*</sup>, 
-    Yunsheng Jiang<sup>*</sup>, 
-    Yufei Huo, 
-    <a href="https://guojianzhu.com/" style="text-decoration: none; color: inherit;">Jianzhu Guo</a><sup>✉,§</sup>
-    </strong><br>
-    Hao Li, 
-    Yinghang Song, 
-    Fei Ding, 
-    Qian He, 
-    Zheren Fu, 
-    Zhendong Mao, 
+  <img src="assets/logo/lance-logo.webp" alt="Lance logo" width="450">
+
+  <h1 align="center">
+  Lance: Unified Multimodal Modeling by Multi-Task Synergy
+</h1>
+
+<p style="line-height: 1.5; margin: 0;">
+  <span>
+    <a href="https://scholar.google.com.hk/citations?user=FXxoQlsAAAAJ&amp;hl=zh-CN&amp;oi=ao" style="text-decoration: none; color: inherit; font-weight: 700 !important; display: inline;">Fengyi Fu</a><sup>*</sup>,
+    <a href="https://corleone-huang.github.io/" style="text-decoration: none; color: inherit; font-weight: 700 !important; display: inline;">Mengqi Huang</a><sup>*,✉</sup>,
+    <a href="https://scholar.google.com.hk/citations?user=9ER6nVkAAAAJ&amp;hl=zh-CN&amp;oi=ao" style="text-decoration: none; color: inherit; font-weight: 700 !important; display: inline;">Shaojin Wu</a><sup>*</sup>,
+    <span style="font-weight: 700 !important;">Yunsheng Jiang</span><sup>*</sup>,
+    <span style="font-weight: 700 !important;">Yufei Huo</span>,
+    <a href="https://guojianzhu.com/" style="text-decoration: none; color: inherit; font-weight: 700 !important; display: inline;">Jianzhu Guo</a><sup>✉,§</sup>
+  </span>
+  <br>
+
+  <span style="display: inline-block; margin-top: 0.4em;">
+    Hao Li,
+    Yinghang Song,
+    Fei Ding,
+    Qian He,
+    Zheren Fu,
+    Zhendong Mao,
     Yongdong Zhang
-    <br>
-    <em>ByteDance</em>
-    <br>
-    <sup>*</sup> 共同一作 &nbsp;&nbsp; <sup>✉</sup> 通讯作者 &nbsp;&nbsp; <sup>§</sup> Project lead
-  </p>
+  </span>
+  <br>
+  <em>ByteDance</em>
+  <br>
+  <sup>*</sup> 共同一作 &nbsp;&nbsp;
+  <sup>✉</sup> 通讯作者 &nbsp;&nbsp;
+  <sup>§</sup> 项目负责人
+</p>
   <p>
-    <a href="https://lance-project.github.io/" style="text-decoration: none; margin: 0 8px;"><img src="https://img.shields.io/badge/Website-Lance-blue?style=flat-square&logo=github" alt="Website"></a>
-    <a href="http://arxiv.org/abs/2605.18678" style="text-decoration: none; margin: 0 8px;"><img src="https://img.shields.io/badge/Paper-arXiv-red?style=flat-square&logo=arxiv" alt="arXiv"></a>
-    <a href="https://github.com/bytedance/Lance" style="text-decoration: none; margin: 0 8px;"><img src="https://img.shields.io/badge/Lance-Codebase-536af5?color=536af5&logo=github" alt="Github"></a>   
+    <a href="https://lance-project.github.io/" style="text-decoration: none; margin: 0 8px;"><img src="https://img.shields.io/badge/Homepage-Lance-blue?style=flat" alt="Homepage"></a>
+    <a href="http://arxiv.org/abs/2605.18678" style="text-decoration: none; margin: 0 8px;"><img src="https://img.shields.io/badge/Paper-arXiv-red?style=flat&logo=arxiv" alt="arXiv"></a>
+    <a href="https://github.com/bytedance/Lance" style="text-decoration: none; margin: 0 8px;"><img src="https://img.shields.io/badge/Code-GitHub-536af5?color=536af5&logo=github" alt="GitHub"></a>
     <br>
     <a href="./README.md"><ins>English</ins></a> | 简体中文
   </p>
@@ -349,11 +358,11 @@ python lance_gradio_t2v_v2t.py --gpus 0 --server-port 7860
 #### DPG-Bench 评测
 
 <div align="center">
-<table>
+<table align="center">
   <thead>
     <tr>
       <th align="left">模型</th>
-      <th align="center"># Params.</th>
+      <th align="center">#&nbsp;Params.</th>
       <th align="center">Global</th>
       <th align="center">Entity</th>
       <th align="center">Attribute</th>
@@ -364,7 +373,7 @@ python lance_gradio_t2v_v2t.py --gpus 0 --server-port 7860
   </thead>
   <tbody>
     <tr>
-      <td align="left" colspan="8"><i>仅生成模型</i></td>
+      <td align="center" colspan="8"><i>仅生成模型</i></td>
     </tr>
     <tr>
       <td align="left">SDXL</td><td align="center">3.5B</td><td align="center">83.27</td><td align="center">82.43</td><td align="center">80.91</td><td align="center">86.76</td><td align="center">80.41</td><td align="center">74.65</td>
@@ -382,7 +391,7 @@ python lance_gradio_t2v_v2t.py --gpus 0 --server-port 7860
       <td align="left">Qwen-Image</td><td align="center">20B</td><td align="center">91.32</td><td align="center">91.56</td><td align="center">92.02</td><td align="center">94.31</td><td align="center">92.73</td><td align="center">88.32</td>
     </tr>
     <tr>
-      <td align="left" colspan="8"><i>统一模型</i></td>
+      <td align="center" colspan="8"><i>统一模型</i></td>
     </tr>
     <tr>
       <td align="left">Janus-Pro-7B</td><td align="center">7B</td><td align="center">86.90</td><td align="center">88.90</td><td align="center">89.40</td><td align="center">89.32</td><td align="center">89.48</td><td align="center">84.19</td>
@@ -394,7 +403,7 @@ python lance_gradio_t2v_v2t.py --gpus 0 --server-port 7860
       <td align="left">Show-o2</td><td align="center">7B</td><td align="center">89.00</td><td align="center"><b>91.78</b></td><td align="center">89.96</td><td align="center">91.81</td><td align="center"><b>91.64</b></td><td align="center">86.14</td>
     </tr>
     <tr>
-      <td align="left">BAGEL</td><td align="center">7B</td><td align="center">88.94</td><td align="center">90.37</td><td align="center"><u>91.29</u></td><td align="center">90.82</td><td align="center">88.67</td><td align="center">85.07</td>
+      <td align="left">BAGEL<sup>†</sup></td><td align="center">7B</td><td align="center">88.94</td><td align="center">90.37</td><td align="center"><u>91.29</u></td><td align="center">90.82</td><td align="center">88.67</td><td align="center">85.07</td>
     </tr>
     <tr>
       <td align="left">InternVL-U</td><td align="center">1.7B</td><td align="center"><u>90.39</u></td><td align="center">90.78</td><td align="center">90.68</td><td align="center">90.29</td><td align="center">88.77</td><td align="center">85.18</td>
@@ -412,14 +421,16 @@ python lance_gradio_t2v_v2t.py --gpus 0 --server-port 7860
 </table>
 </div>
 
+<p align="center"><em><sup>†</sup> 表示该方法在生成前使用 LLM rewriter 进行 prompt rewriting。</em></p>
+
 #### GenEval 评测
 
 <div align="center">
-<table>
+<table align="center">
   <thead>
     <tr>
       <th align="left">模型</th>
-      <th align="center"># Params.</th>
+      <th align="center">#&nbsp;Params.</th>
       <th align="center">1-Obj.</th>
       <th align="center">2-Obj.</th>
       <th align="center">Count</th>
@@ -431,7 +442,7 @@ python lance_gradio_t2v_v2t.py --gpus 0 --server-port 7860
   </thead>
   <tbody>
     <tr>
-      <td align="left" colspan="9"><i>仅生成模型</i></td>
+      <td align="center" colspan="9"><i>仅生成模型</i></td>
     </tr>
     <tr>
       <td align="left">SDXL</td><td align="center">3.5B</td><td align="center">0.98</td><td align="center">0.74</td><td align="center">0.39</td><td align="center">0.85</td><td align="center">0.15</td><td align="center">0.23</td><td align="center">0.55</td>
@@ -449,7 +460,7 @@ python lance_gradio_t2v_v2t.py --gpus 0 --server-port 7860
       <td align="left">Qwen-Image</td><td align="center">20B</td><td align="center">0.99</td><td align="center">0.92</td><td align="center">0.89</td><td align="center">0.88</td><td align="center">0.76</td><td align="center">0.77</td><td align="center">0.87</td>
     </tr>
     <tr>
-      <td align="left" colspan="9"><i>统一模型</i></td>
+      <td align="center" colspan="9"><i>统一模型</i></td>
     </tr>
     <tr>
       <td align="left">Janus-Pro-7B</td><td align="center">7B</td><td align="center"><u>0.99</u></td><td align="center">0.89</td><td align="center">0.59</td><td align="center">0.90</td><td align="center">0.79</td><td align="center">0.66</td><td align="center">0.80</td>
@@ -461,7 +472,7 @@ python lance_gradio_t2v_v2t.py --gpus 0 --server-port 7860
       <td align="left">Show-o2</td><td align="center">7B</td><td align="center"><b>1.00</b></td><td align="center">0.87</td><td align="center">0.58</td><td align="center">0.92</td><td align="center">0.52</td><td align="center">0.62</td><td align="center">0.76</td>
     </tr>
     <tr>
-      <td align="left">BAGEL</td><td align="center">7B</td><td align="center">0.98</td><td align="center">0.95</td><td align="center"><b>0.84</b></td><td align="center"><u>0.95</u></td><td align="center">0.78</td><td align="center">0.77</td><td align="center">0.88</td>
+      <td align="left">BAGEL<sup>†</sup></td><td align="center">7B</td><td align="center">0.98</td><td align="center">0.95</td><td align="center"><b>0.84</b></td><td align="center"><u>0.95</u></td><td align="center">0.78</td><td align="center">0.77</td><td align="center">0.88</td>
     </tr>
     <tr>
       <td align="left">Mogao</td><td align="center">7B</td><td align="center"><b>1.00</b></td><td align="center"><b>0.97</b></td><td align="center"><u>0.83</u></td><td align="center">0.93</td><td align="center">0.84</td><td align="center">0.80</td><td align="center"><u>0.89</u></td>
@@ -482,14 +493,16 @@ python lance_gradio_t2v_v2t.py --gpus 0 --server-port 7860
 </table>
 </div>
 
+<p align="center"><em><sup>†</sup> 表示该方法在生成前使用 LLM rewriter 进行 prompt rewriting。</em></p>
+
 #### GEdit-Bench 评测
 
 <div align="center">
-<table>
+<table align="center">
   <thead>
     <tr>
       <th align="left">模型</th>
-      <th align="center"># Params.</th>
+      <th align="center">#&nbsp;Params.</th>
       <th align="center">BC</th>
       <th align="center">CA</th>
       <th align="center">MM</th>
@@ -506,7 +519,7 @@ python lance_gradio_t2v_v2t.py --gpus 0 --server-port 7860
   </thead>
   <tbody>
     <tr>
-      <td align="left" colspan="14"><i>仅生成模型</i></td>
+      <td align="center" colspan="14"><i>仅生成模型</i></td>
     </tr>
     <tr>
       <td align="left">Gemini 2.0</td><td align="center">-</td><td align="center">-</td><td align="center">-</td><td align="center">-</td><td align="center">-</td><td align="center">-</td><td align="center">-</td><td align="center">-</td><td align="center">-</td><td align="center">-</td><td align="center">-</td><td align="center">-</td><td align="center">6.32</td>
@@ -518,7 +531,7 @@ python lance_gradio_t2v_v2t.py --gpus 0 --server-port 7860
       <td align="left">Qwen-Image-Edit</td><td align="center">20B</td><td align="center">8.23</td><td align="center">8.30</td><td align="center">7.33</td><td align="center">8.05</td><td align="center">7.49</td><td align="center">6.74</td><td align="center">8.57</td><td align="center">8.09</td><td align="center">8.29</td><td align="center">8.48</td><td align="center">8.50</td><td align="center">8.01</td>
     </tr>
     <tr>
-      <td align="left" colspan="14"><i>统一模型</i></td>
+      <td align="center" colspan="14"><i>统一模型</i></td>
     </tr>
     <tr>
       <td align="left">Lumina-DiMOO</td><td align="center">8B</td><td align="center">3.43</td><td align="center">4.27</td><td align="center">3.08</td><td align="center">2.77</td><td align="center">4.74</td><td align="center">5.19</td><td align="center">4.44</td><td align="center">3.80</td><td align="center">4.38</td><td align="center">2.68</td><td align="center">4.20</td><td align="center">3.91</td>
@@ -545,12 +558,12 @@ python lance_gradio_t2v_v2t.py --gpus 0 --server-port 7860
 #### VBench 评测（视频生成）
 
 <div align="center">
-<table>
+<table align="center">
   <thead>
     <tr>
       <th align="left">类型</th>
       <th align="left">Model</th>
-      <th align="center"># Params.</th>
+      <th align="center">#&nbsp;Params.</th>
       <th align="center">Total Score ↑</th>
     </tr>
   </thead>
@@ -609,7 +622,7 @@ python lance_gradio_t2v_v2t.py --gpus 0 --server-port 7860
       <td align="left">TUNA</td><td align="center">1.5B</td><td align="center"><u>84.06</u></td>
     </tr>
     <tr bgcolor="#f4e6ff">
-      <td align="left">🌟 <b>Lance (Ours)</b><sup>†</sup></td><td align="center"><b>3B</b></td><td align="center"><b>85.11</b></td>
+      <td align="left">🌟 <b>Lance (Ours)</b></td><td align="center"><b>3B</b></td><td align="center"><b>85.11</b></td>
     </tr>
   </tbody>
 </table>
@@ -631,6 +644,10 @@ python lance_gradio_t2v_v2t.py --gpus 0 --server-port 7860
 
 Copyright 2025 Bytedance Ltd. and/or its affiliates.
 
+## 🙏 致谢
+
+感谢 [BAGEL](https://github.com/ByteDance-Seed/bagel)、[Qwen2.5-VL-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct) 和 [Wan2.2](https://github.com/Wan-Video/Wan2.2) 的贡献者们公开研究成果并推动社区发展。
+
 ## 💖 引用
 
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