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Update constants.py

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  1. constants.py +8 -1
constants.py CHANGED
@@ -85,7 +85,14 @@ COLUMN_NAMES = MODEL_INFO + TASK_INFO
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  LEADERBORAD_INTRODUCTION = """# VBench Leaderboard
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  *"Which Video Generation Model is better?"*
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- πŸ† Welcome to the leaderboard of the **VBench**! 🎦 *A Comprehensive Benchmark Suite for Video Generative Models* [![Paper](https://img.shields.io/badge/cs.CV-Paper-b31b1b?logo=arxiv&logoColor=red)](https://arxiv.org/abs/2311.17982) [![Project Page](https://img.shields.io/badge/VBench-Website-green?logo=googlechrome&logoColor=green)](https://vchitect.github.io/VBench-project/) [![PyPI](https://img.shields.io/pypi/v/vbench)](https://pypi.org/project/vbench/) [![Code](https://img.shields.io/badge/GitHub%20Code%3F-brightgreen.svg?style=flat)](https://github.com/Vchitect/VBench) [![Video](https://img.shields.io/badge/YouTube-Video-c4302b?logo=youtube&logoColor=red)](https://www.youtube.com/watch?v=7IhCC8Qqn8Y) [![Visitor](https://hits.seeyoufarm.com/api/count/incr/badge.svg?url=https%3A%2F%2Fgithub.com%2FVchitect%2FVBench&count_bg=%23FFA500&title_bg=%23555555&icon=&icon_color=%23E7E7E7&title=visitors&edge_flat=false)](https://hits.seeyoufarm.com)
 
 
 
 
 
 
 
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  - **Comprehensive Dimensions:** We carefully decompose video generation quality into 16 comprehensive dimensions to reveal individual model's strengths and weaknesses.
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  - **Human Alignment:** We conducted extensive experiments and human annotations to validate robustness of VBench.
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  - **Valuable Insights:** VBench provides multi-perspective insights useful for the community.
 
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  LEADERBORAD_INTRODUCTION = """# VBench Leaderboard
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  *"Which Video Generation Model is better?"*
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+ πŸ† Welcome to the leaderboard of the **VBench**! 🎦 *A Comprehensive Benchmark Suite for Video Generative Models*
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+ <div style="display: flex; flex-wrap: wrap; align-items: center; gap: 10px;">
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+ <a href='https://arxiv.org/abs/2311.17982'><img src='https://img.shields.io/badge/cs.CV-Paper-b31b1b?logo=arxiv&logoColor=red'></a>
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+ <a href='https://vchitect.github.io/VBench-project/'><img src='https://img.shields.io/badge/VBench-Website-green?logo=googlechrome&logoColor=green'></a>
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+ <a href='https://pypi.org/project/vbench/'><img src='https://img.shields.io/pypi/v/vbench'></a>
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+ <a href='https://www.youtube.com/watch?v=7IhCC8Qqn8Y'><img src='https://img.shields.io/badge/YouTube-Video-c4302b?logo=youtube&logoColor=red'></a>
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+ <a href='https://hits.seeyoufarm.com'><img src='https://hits.seeyoufarm.com/api/count/incr/badge.svg?url=https%3A%2F%2Fgithub.com%2FVchitect%2FVBench&count_bg=%23FFA500&title_bg=%23555555&icon=&icon_color=%23E7E7E7&title=visitors&edge_flat=false'></a>
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+ </div>
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  - **Comprehensive Dimensions:** We carefully decompose video generation quality into 16 comprehensive dimensions to reveal individual model's strengths and weaknesses.
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  - **Human Alignment:** We conducted extensive experiments and human annotations to validate robustness of VBench.
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  - **Valuable Insights:** VBench provides multi-perspective insights useful for the community.