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Update file/results_ChronoMagic-Bench.csv

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  1. file/results_ChronoMagic-Bench.csv +7 -7
file/results_ChronoMagic-Bench.csv CHANGED
@@ -1,15 +1,15 @@
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  Model,Backbone,UMT-FVD↓,UMTScore↑,MTScore↑,CHScore↑,GPT4o-MTScore↑
 
 
 
 
 
2
  [ModelScopeT2V](https://huggingface.co/ali-vilab/text-to-video-ms-1.7b),U-Net,194.77,2.909,0.401,29.23,2.86
3
  [ZeroScope](https://huggingface.co/cerspense/zeroscope_v2_576w),U-Net,227.02,2.35,0.4,46.13,2.09
4
  [T2V-Zero](https://github.com/Picsart-AI-Research/Text2Video-Zero),U-Net,209.66,2.661,0.4,8.62,2.55
5
  [LaVie](https://github.com/Vchitect/LaVie),U-Net,166.97,2.763,0.346,28.01,2.46
6
  [AnimateDiff-V3](https://github.com/guoyww/AnimateDiff),U-Net,197.89,2.944,0.467,30.35,2.62
7
  [VideoCrafter2](https://github.com/AILab-CVC/VideoCrafter),U-Net,178.45,2.753,0.433,27.80,2.68
8
- [MCM-MSLION](https://yhzhai.github.io/mcm/),U-NeT,202.08,2.33,0.417,31.80,3.04
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- [MagicTime](https://github.com/PKU-YuanGroup/MagicTime),U-Net,257.56,1.916,0.478,29.03,3.13
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  [Latte](https://github.com/Vchitect/Latte),DiT,192.12,2.111,0.363,34.73,2.2
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- [OpenSora 1.1](https://github.com/hpcaitech/Open-Sora),DiT,195.43,2.678,0.444,25.34,2.52
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- [OpenSora 1.2](https://github.com/hpcaitech/Open-Sora),DiT,166.92,2.781,0.375,14.65,2.56
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- [OpenSoraPlan v1.1](https://github.com/PKU-YuanGroup/Open-Sora-Plan),DiT,188.53,2.421,0.327,23.15,2.19
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- [EasyAnimate V3](https://github.com/aigc-apps/EasyAnimate),DiT,164.30,2.713,0.349,21.72,-
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- [CogVideoX](https://github.com/THUDM/CogVideo),DiT,159.31,3.225,0.364,32.99,-
 
1
  Model,Backbone,UMT-FVD↓,UMTScore↑,MTScore↑,CHScore↑,GPT4o-MTScore↑
2
+ [OpenSora 1.1](https://github.com/hpcaitech/Open-Sora),DiT,195.43,2.678,0.444,25.34,2.52
3
+ [OpenSora 1.2](https://github.com/hpcaitech/Open-Sora),DiT,166.92,2.781,0.375,14.65,2.56
4
+ [OpenSoraPlan v1.1](https://github.com/PKU-YuanGroup/Open-Sora-Plan),DiT,188.53,2.421,0.327,23.15,2.19
5
+ [EasyAnimate V3](https://github.com/aigc-apps/EasyAnimate),DiT,164.30,2.713,0.349,21.72,2.32
6
+ [CogVideoX-2B](https://github.com/THUDM/CogVideo),DiT,159.31,3.225,0.404,32.99,2.92
7
  [ModelScopeT2V](https://huggingface.co/ali-vilab/text-to-video-ms-1.7b),U-Net,194.77,2.909,0.401,29.23,2.86
8
  [ZeroScope](https://huggingface.co/cerspense/zeroscope_v2_576w),U-Net,227.02,2.35,0.4,46.13,2.09
9
  [T2V-Zero](https://github.com/Picsart-AI-Research/Text2Video-Zero),U-Net,209.66,2.661,0.4,8.62,2.55
10
  [LaVie](https://github.com/Vchitect/LaVie),U-Net,166.97,2.763,0.346,28.01,2.46
11
  [AnimateDiff-V3](https://github.com/guoyww/AnimateDiff),U-Net,197.89,2.944,0.467,30.35,2.62
12
  [VideoCrafter2](https://github.com/AILab-CVC/VideoCrafter),U-Net,178.45,2.753,0.433,27.80,2.68
 
 
13
  [Latte](https://github.com/Vchitect/Latte),DiT,192.12,2.111,0.363,34.73,2.2
14
+ [MagicTime](https://github.com/PKU-YuanGroup/MagicTime),U-Net,257.56,1.916,0.478,29.03,3.13
15
+ [MCM-MSLION](https://yhzhai.github.io/mcm/),U-NeT,202.08,2.33,0.417,31.80,3.04