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VideoScore-Leaderboard

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upload results file

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  1. data/xuan/video_eval/leader_bd/results.csv +23 -0
data/xuan/video_eval/leader_bd/results.csv ADDED
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+ Model,Average,Visual Quality,Temporal Consistency,Dynamic Degree,Text-to-Video Alignment
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+ [VideoCrafter-2](https://github.com/AILab-CVC/VideoCrafter),53.705224845121386,57.07237402153942,99.39033035064737,21.925056082163714,36.43313892613502
3
+ [ModelScope](https://huggingface.co/ali-vilab/modelscope-damo-text-to-video-synthesis),39.83440496806105,6.506589917553985,99.01742498824994,23.96411133855299,29.849493627887284
4
+ [LaVie-base](https://github.com/Vchitect/LaVie),49.48750577396848,49.12630749577154,98.68111235400042,19.820328796029397,30.32227445007254
5
+ [AnimateDiff](https://github.com/guoyww/animatediff/),54.48284036349923,48.95825154297589,97.9446972211202,40.361759401402466,30.66665328849833
6
+ [LVDM](https://github.com/YingqingHe/LVDM),45.58893824240171,6.5579656907058155,96.7562885483106,43.120494385728946,35.92100434486149
7
+ [HotShot-XL](https://github.com/hotshotco/Hotshot-XL),51.55683216103604,53.209196325584095,99.60829172035058,23.780259391941005,29.629581206268483
8
+ [ZeroScope_576w](https://huggingface.co/cerspense/zeroscope_v2_576w),42.77295109703192,2.6770932795502747,98.7948457300663,38.57385904760954,31.046006330901577
9
+ [MagicTime](https://github.com/PKU-YuanGroup/MagicTime),nan,62.711596286391504,99.81791203919177,nan,30.12128957266978
10
+ [VideoCrafter-1-512](https://github.com/AILab-CVC/VideoCrafter),45.78402288342093,26.18314253971199,98.58876206477483,23.54380772663637,34.820379202560545
11
+ [Latte](https://github.com/Vchitect/Latte),51.007484070782766,55.80620914349132,99.08689671506484,18.86448095990123,30.272349464673663
12
+ [Video-LaVIT](https://github.com/jy0205/LaVIT),nan,63.492929813122714,99.65291798456262,nan,30.587257000311663
13
+ [VideoCrafter-2](https://github.com/AILab-CVC/VideoCrafter),53.705224845121386,57.07237402153942,99.39033035064737,21.925056082163714,36.43313892613502
14
+ [ModelScope](https://huggingface.co/ali-vilab/modelscope-damo-text-to-video-synthesis),39.83440496806105,6.506589917553985,99.01742498824994,23.96411133855299,29.849493627887284
15
+ [LaVie-base](https://github.com/Vchitect/LaVie),49.48750577396848,49.12630749577154,98.68111235400042,19.820328796029397,30.32227445007254
16
+ [AnimateDiff](https://github.com/guoyww/animatediff/),54.48284036349923,48.95825154297589,97.9446972211202,40.361759401402466,30.66665328849833
17
+ [LVDM](https://github.com/YingqingHe/LVDM),45.58893824240171,6.5579656907058155,96.7562885483106,43.120494385728946,35.92100434486149
18
+ [HotShot-XL](https://github.com/hotshotco/Hotshot-XL),51.55683216103604,53.209196325584095,99.60829172035058,23.780259391941005,29.629581206268483
19
+ [ZeroScope_576w](https://huggingface.co/cerspense/zeroscope_v2_576w),42.77295109703192,2.6770932795502747,98.7948457300663,38.57385904760954,31.046006330901577
20
+ [MagicTime](https://github.com/PKU-YuanGroup/MagicTime),nan,62.711596286391504,99.81791203919177,nan,30.12128957266978
21
+ [VideoCrafter-1-512](https://github.com/AILab-CVC/VideoCrafter),45.78402288342093,26.18314253971199,98.58876206477483,23.54380772663637,34.820379202560545
22
+ [Latte](https://github.com/Vchitect/Latte),51.007484070782766,55.80620914349132,99.08689671506484,18.86448095990123,30.272349464673663
23
+ [Video-LaVIT](https://github.com/jy0205/LaVIT),nan,63.492929813122714,99.65291798456262,nan,30.587257000311663