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  HiT-SR is a general strategy to improve transformer-based SR methods. We apply our HiT-SR approach to improve [SwinIR-Light](https://github.com/JingyunLiang/SwinIR), [SwinIR-NG](https://github.com/rami0205/NGramSwin) and [SRFormer-Light](https://github.com/HVision-NKU/SRFormer), corresponding to our HiT-SIR, HiT-SNG, and HiT-SRF. Compared with the original structure, our improved models achieve better SR performance while reducing computational burdens.
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- ## 🚀 Models
 
 
 
 
 
 
 
 
 
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  For each HiT-SR model, we provide 2x, 3x, 4x upscaling versions:
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  | Repo Name | | Model | | Upscale |
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  |-------------------|---|---------|---|---------|
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  | `XiangZ/hit-srf-3x` | | HiT-SRF | | 3x |
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  | `XiangZ/hit-srf-4x` | | HiT-SRF | | 4x |
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-
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- ## 🛠️ Setup
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- Install the dependencies under the working directory:
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- ```
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- git clone https://huggingface.co/XiangZ/hit-sr
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- cd hit-sr
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- pip install -r requirements.txt
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- ```
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-
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- ## 🚀 Usage
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-
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  To test the model (use hit-srf-4x as an example):
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  ```
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  from hit_sir_arch import HiT_SIR
 
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  HiT-SR is a general strategy to improve transformer-based SR methods. We apply our HiT-SR approach to improve [SwinIR-Light](https://github.com/JingyunLiang/SwinIR), [SwinIR-NG](https://github.com/rami0205/NGramSwin) and [SRFormer-Light](https://github.com/HVision-NKU/SRFormer), corresponding to our HiT-SIR, HiT-SNG, and HiT-SRF. Compared with the original structure, our improved models achieve better SR performance while reducing computational burdens.
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+
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+ ## 🛠️ Setup
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+ Install the dependencies under the working directory:
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+ ```
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+ git clone https://huggingface.co/XiangZ/hit-sr
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+ cd hit-sr
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+ pip install -r requirements.txt
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+ ```
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+
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+ ## 🚀 Usage
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  For each HiT-SR model, we provide 2x, 3x, 4x upscaling versions:
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  | Repo Name | | Model | | Upscale |
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  |-------------------|---|---------|---|---------|
 
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  | `XiangZ/hit-srf-3x` | | HiT-SRF | | 3x |
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  | `XiangZ/hit-srf-4x` | | HiT-SRF | | 4x |
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  To test the model (use hit-srf-4x as an example):
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  ```
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  from hit_sir_arch import HiT_SIR