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@@ -14,7 +14,7 @@ For image editing reward task, our models support:
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  >3. Pointwise Score — rate a single image on two axes: instruction-following and overall image quality.
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- 🚀 The image editing reward inference code is available at [`UnifiedReward-Edit/`](https://github.com/CodeGoat24/UnifiedReward/tree/main/UnifiedReward-Edit) directory, while T2I inference code is unchanged from previous models. The editing training data is preprocessed from [EditScore](https://huggingface.co/datasets/EditScore/EditScore-Reward-Data), [EditReward](https://huggingface.co/datasets/TIGER-Lab/EditReward-Data), and [Pico-Nano-Banana](https://github.com/apple/pico-banana-400k). We sincerely appreciate all contributors!!
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  For further details, please refer to the following resources:
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  - 📰 Paper: https://arxiv.org/pdf/2503.05236
 
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  >3. Pointwise Score — rate a single image on two axes: instruction-following and overall image quality.
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+ 🚀 The image editing reward inference code is available at [`UnifiedReward-Edit/`](https://github.com/CodeGoat24/UnifiedReward/tree/main/UnifiedReward-Edit) directory, while T2I inference code is unchanged from previous models. The editing training data is preprocessed from [EditScore](https://huggingface.co/datasets/EditScore/EditScore-Reward-Data), and [EditReward](https://huggingface.co/datasets/TIGER-Lab/EditReward-Data). We sincerely appreciate all contributors!!
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  For further details, please refer to the following resources:
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  - 📰 Paper: https://arxiv.org/pdf/2503.05236