Any-to-Any
Transformers
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@@ -122,11 +122,11 @@ echo "All background processes finished."
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  ## Preliminary Results
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  ### Qualitative Results for Image Generation
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  <p align="left">
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- <img src="https://github.com/Fr0zenCrane/UniCoT/blob/v0.1/assets/qualitative_results_generation.png" width="800"/>
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  ### Qualitative Results for Image Editing
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  <p align="left">
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- <img src="https://github.com/Fr0zenCrane/UniCoT/blob/v0.1/assets/qualitative_results_edit.png" width="800"/>
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  ### Quantitative Results on WISE
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  We first conduct experiments on the [WISE](https://github.com/PKU-YuanGroup/WISE) dataset to evaluate the reasoning capabilities of our method. As shown in the table below, our model achieves state-of-the-art (SOTA) performance among existing open-source unified models. Our results are averaged over five independent runs to ensure robustness and reliability.
 
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  ## Preliminary Results
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  ### Qualitative Results for Image Generation
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  <p align="left">
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+ <img src="https://github.com/Fr0zenCrane/UniCoT/raw/v0.1/assets/qualitative_results_generation.png" width="800"/>
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  ### Qualitative Results for Image Editing
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  <p align="left">
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+ <img src="https://github.com/Fr0zenCrane/UniCoT/raw/v0.1/assets/qualitative_results_edit.png" width="800"/>
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  ### Quantitative Results on WISE
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  We first conduct experiments on the [WISE](https://github.com/PKU-YuanGroup/WISE) dataset to evaluate the reasoning capabilities of our method. As shown in the table below, our model achieves state-of-the-art (SOTA) performance among existing open-source unified models. Our results are averaged over five independent runs to ensure robustness and reliability.