Update README.md

README.md

@@ -120,61 +120,34 @@ The default motion_score = 5 is suitable for general use. If you need more stabi
 We build [Step-Video-TI2V-Eval](https://github.com/stepfun-ai/Step-Video-T2V/blob/main/benchmark/Step-Video-T2V-Eval), a new benchmark designed for the text-driven image-to-video generation task. The dataset comprises 178 real-world and 120 anime-style prompt-image pairs, ensuring broad coverage of diverse user scenarios. To achieve comprehensive representation, we developed a fine-grained schema for data collection in both categories.
 
 
-<table border="0" style="width: 100%; text-align: center; margin-top: 1px;">
-  <tr>
-    <th style="width: 20%;">vs. OSTopA</th>
-    <th style="width: 20%;">vs. OSTopB</th>
-    <th style="width: 20%;">vs. CSTopC</th>
-    <th style="width: 20%;">vs. CSTopD</th>
-  </tr>
-  <tr>
-    <td>37-63-79</td>
-    <td>101-48-29</td>
-    <td>41-46-73</td>
-    <td>92-51-18</td>
-  </tr>
-  <tr>
-    <td>40-35-44</td>
-    <td>94-16-10</td>
-    <td>52-35-47</td>
-    <td>87-18-17</td>
-  </tr>
-  <tr>
-    <td>46-92-39</td>
-    <td>43-71-64</td>
-    <td>45-65-50</td>
-    <td>36-77-47</td>
-  </tr>
-  <tr>
-    <td>42-61-18</td>
-    <td>50-35-35</td>
-    <td>29-62-43</td>
-    <td>37-63-23</td>
-  </tr>
-  <tr>
-    <td>52-57-49</td>
-    <td>71-40-66</td>
-    <td>58-33-69</td>
-    <td>67-33-60</td>
-  </tr>
-  <tr>
-    <td>75-17-28</td>
-    <td>67-30-24</td>
-    <td>78-17-39</td>
-    <td>68-41-14</td>
-  </tr>
-  <tr>
-    <th colspan="4">Total Score</th>
-  </tr>
-  <tr>
-    <td>292-325-277</td>
-    <td>426-240-228</td>
-    <td>303-258-321</td>
-    <td>387-283-179</td>
-  </tr>
-</table>
-<p style="text-align: center;"><strong>Table 1: Comparison with baseline TI2V models using Step-Video-TI2V-Eval.</strong></p>
 
+<table border="0" style="width: 100%; text-align: center; margin-top: 10px; border-collapse: collapse; border-radius: 8px; overflow: hidden;">
+  <thead>
+    <tr style="">
+      <th style="width: 25%; padding: 10px;">vs. OSTopA</th>
+      <th style="width: 25%; padding: 10px;">vs. OSTopB</th>
+      <th style="width: 25%; padding: 10px;">vs. CSTopC</th>
+      <th style="width: 25%; padding: 10px;">vs. CSTopD</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr><td>37-63-79</td><td>101-48-29</td><td>41-46-73</td><td>92-51-18</td></tr>
+    <tr><td>40-35-44</td><td>94-16-10</td><td>52-35-47</td><td>87-18-17</td></tr>
+    <tr><td>46-92-39</td><td>43-71-64</td><td>45-65-50</td><td>36-77-47</td></tr>
+    <tr><td>42-61-18</td><td>50-35-35</td><td>29-62-43</td><td>37-63-23</td></tr>
+    <tr><td>52-57-49</td><td>71-40-66</td><td>58-33-69</td><td>67-33-60</td></tr>
+    <tr><td>75-17-28</td><td>67-30-24</td><td>78-17-39</td><td>68-41-14</td></tr>
+    <tr style="">
+      <td colspan="4" style="padding: 10px; font-weight: bold;">Total Score</td>
+    </tr>
+    <tr>
+      <td>292-325-277</td>
+      <td>426-240-228</td>
+      <td>303-258-321</td>
+      <td>387-283-179</td>
+    </tr>
+  </tbody>
+</table>
 
 
 [VBench](https://arxiv.org/html/2411.13503v1) is a comprehensive benchmark suite that deconstructs “video generation quality” into specific, hierarchical, and disentangled dimensions, each with tailored prompts and evaluation methods. We utilize the VBench-I2V benchmark to assess the performance of Step-Video-TI2V alongside other TI2V models.