VideoScore-Leaderboard / results.csv
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Model,Visual Quality,Temporal Consistency,Dynamic Degree,Text-to-Video Alignment
[VideoCrafter-2](https://github.com/AILab-CVC/VideoCrafter),57.07,99.39,21.93,36.43
[ModelScope](https://huggingface.co/ali-vilab/modelscope-damo-text-to-video-synthesis),6.51,99.02,23.96,29.85
[LaVie-base](https://github.com/Vchitect/LaVie),49.13,98.68,19.82,30.32
[AnimateDiff](https://github.com/guoyww/animatediff/),48.96,97.94,40.36,30.67
[LVDM](https://github.com/YingqingHe/LVDM),6.56,96.76,43.12,35.92
[HotShot-XL](https://github.com/hotshotco/Hotshot-XL),53.21,99.61,23.78,29.63
[ZeroScope_576w](https://huggingface.co/cerspense/zeroscope_v2_576w),2.68,98.79,38.57,31.05
[MagicTime](https://github.com/PKU-YuanGroup/MagicTime),62.71,99.82,12.62,30.12
[VideoCrafter-1-512](https://github.com/AILab-CVC/VideoCrafter),26.18,98.59,23.54,34.82
[Latte](https://github.com/Vchitect/Latte),55.81,99.09,18.86,30.27
[Video-LaVIT](https://github.com/jy0205/LaVIT),63.49,99.65,14.1,30.59