|
5 | 5 | <meta name="viewport" content="width=device-width, initial-scale=1.0"> |
6 | 6 | <meta http-equiv="X-UA-Compatible" content="ie=edge"> |
7 | 7 | <title>Video-Bench: Human-Aligned Video Generation Benchmark</title> |
8 | | - <link rel="stylesheet" href="styles.css"> <!-- Link to a CSS file for styling, if needed --> |
9 | 8 | <style> |
10 | 9 | body { |
11 | 10 | font-family: Arial, sans-serif; |
12 | | - line-height: 1.6; |
13 | 11 | margin: 0; |
14 | 12 | padding: 0; |
15 | 13 | background-color: #f4f4f4; |
16 | 14 | } |
17 | 15 | header { |
18 | | - background: #333; |
19 | | - color: #fff; |
20 | | - padding: 10px 0; |
| 16 | + background-color: #333; |
| 17 | + color: white; |
21 | 18 | text-align: center; |
| 19 | + padding: 20px; |
22 | 20 | } |
23 | 21 | header h1 { |
| 22 | + font-size: 2.5em; |
24 | 23 | margin: 0; |
25 | 24 | } |
| 25 | + header h2 { |
| 26 | + font-size: 1.5em; |
| 27 | + margin: 5px 0; |
| 28 | + } |
26 | 29 | section { |
27 | | - padding: 20px; |
28 | 30 | margin: 20px; |
| 31 | + padding: 20px; |
29 | 32 | background-color: white; |
30 | 33 | border-radius: 8px; |
| 34 | + box-shadow: 0px 0px 10px rgba(0, 0, 0, 0.1); |
31 | 35 | } |
32 | 36 | h2 { |
33 | 37 | color: #333; |
|
50 | 54 | a:hover { |
51 | 55 | text-decoration: underline; |
52 | 56 | } |
53 | | - .video-container { |
54 | | - text-align: center; |
55 | | - margin-top: 20px; |
56 | | - } |
57 | | - .image-container { |
58 | | - text-align: center; |
59 | | - margin-top: 20px; |
60 | | - } |
61 | | - .image-container img { |
62 | | - max-width: 100%; |
63 | | - height: auto; |
64 | | - border-radius: 8px; |
| 57 | + .table-container { |
| 58 | + margin: 20px 0; |
65 | 59 | } |
66 | 60 | table { |
67 | 61 | width: 100%; |
68 | 62 | border-collapse: collapse; |
69 | | - margin: 20px 0; |
| 63 | + margin-bottom: 20px; |
70 | 64 | } |
71 | 65 | table, th, td { |
72 | 66 | border: 1px solid #ddd; |
|
78 | 72 | th { |
79 | 73 | background-color: #f4f4f4; |
80 | 74 | } |
| 75 | + .image-container { |
| 76 | + text-align: center; |
| 77 | + margin: 20px 0; |
| 78 | + } |
| 79 | + .image-container img { |
| 80 | + max-width: 100%; |
| 81 | + height: auto; |
| 82 | + border-radius: 8px; |
| 83 | + } |
| 84 | + .video-container { |
| 85 | + text-align: center; |
| 86 | + margin-top: 20px; |
| 87 | + } |
| 88 | + .video-container iframe { |
| 89 | + width: 100%; |
| 90 | + max-width: 800px; |
| 91 | + height: 450px; |
| 92 | + border-radius: 8px; |
| 93 | + } |
81 | 94 | </style> |
82 | 95 | </head> |
83 | 96 | <body> |
84 | 97 |
|
85 | 98 | <header> |
86 | 99 | <h1>Video-Bench: Human-Aligned Video Generation Benchmark</h1> |
| 100 | + <h2>CVPR 2024 Highlight</h2> |
| 101 | + <p>by Ziqi Huang, Yinan He, Jiashuo Yu, Fan Zhang, Chenyang Si, Yuming Jiang, Yuhao Wang, and others</p> |
87 | 102 | </header> |
88 | 103 |
|
89 | 104 | <section> |
90 | | - <h2>Authors</h2> |
91 | | - <p><strong>Hui Han</strong>, <strong>Siyuan Li</strong>, <strong>Jiaqi Chen</strong>, <strong>Yiwen Yuan</strong>, <strong>Yuling Wu</strong>, <strong>Chak Tou Leong</strong>, <strong>Hanwen Du</strong>, <strong>Junchen Fu</strong>, <strong>Youhua Li</strong>, <strong>Jie Zhang</strong>, <strong>Chi Zhang</strong>, <strong>Li-jia Li</strong>, <strong>Yongxin Ni</strong></p> |
92 | | - |
93 | | - <h2>Affiliations</h2> |
94 | | - <ul> |
95 | | - <li>Shanghai Jiao Tong University</li> |
96 | | - <li>Stanford University</li> |
97 | | - <li>Fellou AI</li> |
98 | | - <li>Fudan University</li> |
99 | | - <li>Carnegie Mellon University</li> |
100 | | - <li>Hong Kong Polytechnic University</li> |
101 | | - <li>Soochow University</li> |
102 | | - <li>University of Glasgow</li> |
103 | | - <li>City University of Hong Kong</li> |
104 | | - <li>Westlake University</li> |
105 | | - <li>LiveX AI</li> |
106 | | - <li>National University of Singapore</li> |
107 | | - </ul> |
108 | | - |
109 | 105 | <h2>Project Overview</h2> |
110 | 106 | <p>Video generation assessment is critical for ensuring generative models produce visually realistic, high-quality videos aligned with human expectations. Current video generation benchmarks are limited in aligning with human judgment. To address this, <strong>Video-Bench</strong> is introduced—a comprehensive benchmark incorporating large language models (LLMs) to evaluate video generation quality. The framework includes automated multimodal LLM evaluation, improving the alignment with human preferences. Experimental results show that Video-Bench significantly outperforms previous methods and provides more objective and accurate insights into generated video quality.</p> |
111 | 107 |
|
112 | 108 | <h2>Main Results</h2> |
113 | 109 |
|
114 | 110 | <h3>Comparison with Existing Evaluation Methods</h3> |
115 | | - <table> |
116 | | - <thead> |
117 | | - <tr> |
118 | | - <th>Model</th> |
119 | | - <th>Video Quality</th> |
120 | | - <th>Video-Condition Alignment</th> |
121 | | - <th>Overall</th> |
122 | | - </tr> |
123 | | - </thead> |
124 | | - <tbody> |
125 | | - <tr> |
126 | | - <td>Gen3</td> |
127 | | - <td>4.66</td> |
128 | | - <td>4.38</td> |
129 | | - <td>1</td> |
130 | | - </tr> |
131 | | - <tr> |
132 | | - <td>CogVideoX</td> |
133 | | - <td>3.87</td> |
134 | | - <td>4.62</td> |
135 | | - <td>2</td> |
136 | | - </tr> |
137 | | - <tr> |
138 | | - <td>VideoCrafter2</td> |
139 | | - <td>4.08</td> |
140 | | - <td>4.18</td> |
141 | | - <td>3</td> |
142 | | - </tr> |
143 | | - <tr> |
144 | | - <td>Kling</td> |
145 | | - <td>4.26</td> |
146 | | - <td>4.07</td> |
147 | | - <td>4</td> |
148 | | - </tr> |
149 | | - <tr> |
150 | | - <td>Show-1</td> |
151 | | - <td>3.30</td> |
152 | | - <td>4.21</td> |
153 | | - <td>5</td> |
154 | | - </tr> |
155 | | - <tr> |
156 | | - <td>LaVie</td> |
157 | | - <td>3.00</td> |
158 | | - <td>3.71</td> |
159 | | - <td>6</td> |
160 | | - </tr> |
161 | | - </tbody> |
162 | | - </table> |
| 111 | + <div class="table-container"> |
| 112 | + <table> |
| 113 | + <thead> |
| 114 | + <tr> |
| 115 | + <th>Model</th> |
| 116 | + <th>Video Quality</th> |
| 117 | + <th>Video-Condition Alignment</th> |
| 118 | + <th>Overall Rank</th> |
| 119 | + </tr> |
| 120 | + </thead> |
| 121 | + <tbody> |
| 122 | + <tr> |
| 123 | + <td>Gen3</td> |
| 124 | + <td>4.66</td> |
| 125 | + <td>4.38</td> |
| 126 | + <td>1</td> |
| 127 | + </tr> |
| 128 | + <tr> |
| 129 | + <td>CogVideoX</td> |
| 130 | + <td>3.84</td> |
| 131 | + <td>4.62</td> |
| 132 | + <td>2</td> |
| 133 | + </tr> |
| 134 | + <tr> |
| 135 | + <td>VideoCrafter2</td> |
| 136 | + <td>4.08</td> |
| 137 | + <td>4.18</td> |
| 138 | + <td>3</td> |
| 139 | + </tr> |
| 140 | + <tr> |
| 141 | + <td>Kling</td> |
| 142 | + <td>4.26</td> |
| 143 | + <td>4.07</td> |
| 144 | + <td>4</td> |
| 145 | + </tr> |
| 146 | + <tr> |
| 147 | + <td>Show-1</td> |
| 148 | + <td>3.30</td> |
| 149 | + <td>4.21</td> |
| 150 | + <td>5</td> |
| 151 | + </tr> |
| 152 | + <tr> |
| 153 | + <td>LaVie</td> |
| 154 | + <td>3.00</td> |
| 155 | + <td>3.71</td> |
| 156 | + <td>6</td> |
| 157 | + </tr> |
| 158 | + <tr> |
| 159 | + <td>PiKa-Beta</td> |
| 160 | + <td>3.76</td> |
| 161 | + <td>2.60</td> |
| 162 | + <td>7</td> |
| 163 | + </tr> |
| 164 | + </tbody> |
| 165 | + </table> |
| 166 | + </div> |
163 | 167 |
|
164 | 168 | <h3>Human Preference Alignment Scores</h3> |
165 | | - <table> |
166 | | - <thead> |
167 | | - <tr> |
168 | | - <th>Dimension</th> |
169 | | - <th>Video-Condition Alignment</th> |
170 | | - <th>Video Quality</th> |
171 | | - <th>Average Score</th> |
172 | | - </tr> |
173 | | - </thead> |
174 | | - <tbody> |
175 | | - <tr> |
176 | | - <td>Imaging Quality</td> |
177 | | - <td>0.733</td> |
178 | | - <td>0.633</td> |
179 | | - <td>0.733</td> |
180 | | - </tr> |
181 | | - <tr> |
182 | | - <td>Aesthetic Quality</td> |
183 | | - <td>0.702</td> |
184 | | - <td>0.446</td> |
185 | | - <td>0.702</td> |
186 | | - </tr> |
187 | | - <tr> |
188 | | - <td>Motion Quality</td> |
189 | | - <td>0.514</td> |
190 | | - <td>0.469</td> |
191 | | - <td>0.514</td> |
192 | | - </tr> |
193 | | - <tr> |
194 | | - <td>Video-Text Consistency</td> |
195 | | - <td>0.732</td> |
196 | | - <td>0.611</td> |
197 | | - <td>0.732</td> |
198 | | - </tr> |
199 | | - </tbody> |
200 | | - </table> |
| 169 | + <div class="table-container"> |
| 170 | + <table> |
| 171 | + <thead> |
| 172 | + <tr> |
| 173 | + <th>Entities</th> |
| 174 | + <th>Video Quality</th> |
| 175 | + <th>Video-Condition Alignment</th> |
| 176 | + <th>Average Score</th> |
| 177 | + </tr> |
| 178 | + </thead> |
| 179 | + <tbody> |
| 180 | + <tr> |
| 181 | + <td>HU - HU</td> |
| 182 | + <td>0.63</td> |
| 183 | + <td>0.47</td> |
| 184 | + <td>0.52</td> |
| 185 | + </tr> |
| 186 | + <tr> |
| 187 | + <td>HU - GPT</td> |
| 188 | + <td>0.51</td> |
| 189 | + <td>0.47</td> |
| 190 | + <td>0.41</td> |
| 191 | + </tr> |
| 192 | + <tr> |
| 193 | + <td>HU - HA</td> |
| 194 | + <td>0.61</td> |
| 195 | + <td>0.50</td> |
| 196 | + <td>0.50</td> |
| 197 | + </tr> |
| 198 | + </tbody> |
| 199 | + </table> |
| 200 | + </div> |
201 | 201 |
|
| 202 | + <h2>Project Video Demonstration</h2> |
202 | 203 | <div class="video-container"> |
203 | | - <h2>Project Video Demonstration</h2> |
204 | | - <p>Check out the project’s demonstration video on YouTube:</p> |
205 | | - <a href="https://youtu.be/BMvgyWbWPFg" target="_blank"> |
206 | | - <img src="https://img.youtube.com/vi/BMvgyWbWPFg/0.jpg" alt="Video Thumbnail" style="width:100%; border-radius: 8px;"> |
207 | | - </a> |
| 204 | + <iframe src="https://www.youtube.com/embed/BMvgyWbWPFg" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe> |
208 | 205 | </div> |
209 | 206 |
|
| 207 | + <h2>Head Image</h2> |
210 | 208 | <div class="image-container"> |
211 | | - <h2>Paper's Head Image</h2> |
212 | | - <img src="YOUR_IMAGE_URL_HERE" alt="Project Image" /> <!-- Replace this URL with the actual image URL --> |
| 209 | + <img src="dimension_v2.pdf" alt="Head Image" /> |
213 | 210 | </div> |
214 | 211 |
|
215 | 212 | <h2>GitHub Repository</h2> |
216 | 213 | <p>For more details, visit the official repository: <a href="https://github.com/Video-Bench/Video-Bench.git" target="_blank">Video-Bench GitHub Repository</a></p> |
217 | 214 |
|
218 | | - <h2>Conclusion</h2> |
219 | | - <p>The Video-Bench benchmark introduces a new paradigm for evaluating video generation models with enhanced alignment to human preferences. Through rigorous experimentation and human alignment studies, Video-Bench demonstrates its potential to become a standard evaluation tool for video generation models.</p> |
220 | | - |
221 | 215 | </section> |
222 | 216 |
|
223 | 217 | </body> |
|
0 commit comments