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README.md
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@@ -33,26 +33,27 @@ For the first two benchmarks, we take Spearman corrleation between model's outpu
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averaged among all the evaluation aspects as indicator.
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For GenAI-Bench and VBench, which include human preference data among two or more videos,
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we employ the model's output to predict preferences and use pairwise accuracy as the performance indicator.
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| metric | Final Sum Score | VideoEval-test | EvalCrafter | GenAI-Bench | VBench
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| MantisScore (reg) |
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| MantisScore (gen) | 222.4 |
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| Gemini-1.5-Pro |
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| Gemini-1.5-Flash | 157.5 | 20.8 | 17.3 |
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| GPT-4o | 155.4 |
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| CLIP-sim | 126.8 | 8.9 |
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| DINO-sim | 121.3 | 7.5 | 32.1 | 38.5 |
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| SSIM-sim | 118.0 | 13.4 | 26.9 | 34.1 |
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| CLIP-Score | 114.4 | -7.2 | 21.7 | 45.0 |
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| LLaVA-1.5-7B | 108.3 | 8.5 | 10.5 | 49.9 |
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| LLaVA-1.6-7B | 93.3 | -3.1 | 13.2 | 44.5 |
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| X-CLIP-Score | 92.9 | -1.9 | 13.3 | 41.4 |
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| PIQE | 78.3 | -10.1 | -1.2 | 34.5
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| BRISQUE | 75.9 | -20.3 | 3.9 | 38.5 |
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| Idefics2 | 73.0 | 6.5 | 0.3 | 34.6 |
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| SSIM-dyn | 42.5 | -5.5 | -17.0 | 28.4 |
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| MES-dyn | 36.7 | -12.9 | -26.4 | 31.4 |
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## Usage
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### Installation
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averaged among all the evaluation aspects as indicator.
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For GenAI-Bench and VBench, which include human preference data among two or more videos,
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we employ the model's output to predict preferences and use pairwise accuracy as the performance indicator.
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| metric | Final Sum Score | VideoEval-test | EvalCrafter | GenAI-Bench | VBench |
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|-------------------|:---------------:|:--------------:|:-----------:|:-----------:|:----------:|
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| MantisScore (reg) | **278.3** | 75.7 | **51.1** | **78.5** | **73.0** |
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| MantisScore (gen) | 222.4 | **77.1** | 27.6 | 59.0 | 58.7 |
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| Gemini-1.5-Pro | <u>158.8</u> | 22.1 | 22.9 | 60.9 | 52.9 |
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| Gemini-1.5-Flash | 157.5 | 20.8 | 17.3 | <u>67.1</u> | 52.3 |
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| GPT-4o | 155.4 | <u>23.1</u> | 28.7 | 52.0 | 51.7 |
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| CLIP-sim | 126.8 | 8.9 | <u>36.2</u> | 34.2 | 47.4 |
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| DINO-sim | 121.3 | 7.5 | 32.1 | 38.5 | 43.3 |
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| SSIM-sim | 118.0 | 13.4 | 26.9 | 34.1 | 43.5 |
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| CLIP-Score | 114.4 | -7.2 | 21.7 | 45.0 | 54.9 |
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| LLaVA-1.5-7B | 108.3 | 8.5 | 10.5 | 49.9 | 39.4 |
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| LLaVA-1.6-7B | 93.3 | -3.1 | 13.2 | 44.5 | 38.7 |
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| X-CLIP-Score | 92.9 | -1.9 | 13.3 | 41.4 | 40.1 |
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| PIQE | 78.3 | -10.1 | -1.2 | 34.5 |<u> 55.1</u>|
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| BRISQUE | 75.9 | -20.3 | 3.9 | 38.5 | 53.7 |
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| Idefics2 | 73.0 | 6.5 | 0.3 | 34.6 | 31.7 |
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| SSIM-dyn | 42.5 | -5.5 | -17.0 | 28.4 | 36.5 |
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| MES-dyn | 36.7 | -12.9 | -26.4 | 31.4 | 44.5 |
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The best in MantisScore series is in bold and the best in baselines is underlined.
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## Usage
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### Installation
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