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  # Swin2SR model
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- Swin2SR model with reduce dimension 64, refined (using a more complex convolution). It was introduced in the paper [Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration](https://arxiv.org/abs/2209.11345)
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  by Conde et al. and first released in [this repository](https://github.com/mv-lab/swin2sr).
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  # Intended use cases
 
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  # Swin2SR model
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+ Swin2SR model that upscales images x2. It was introduced in the paper [Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration](https://arxiv.org/abs/2209.11345)
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  by Conde et al. and first released in [this repository](https://github.com/mv-lab/swin2sr).
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  # Intended use cases