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- ---
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- license: cc-by-nc-sa-4.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: cc-by-nc-sa-4.0
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+ ---
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+
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+ # Model Description
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+ This repo contains model weights used in [IQA-PyTorch](https://github.com/chaofengc/IQA-PyTorch), a collection of Image Quality Assessment algorithms implemented in PyTorch.
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+
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+ ## Overview
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+ The weights provided here support various IQA models and metrics, enabling assessment of both full-reference and no-reference image quality evaluation tasks.
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+
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+ ## Model Weights
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+ The weights included in this repository come from two sources:
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+ 1. Models trained and validated by our team
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+ 2. Official weights collected from original model repositories
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+
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+ ## Usage
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+ Please refer to the [IQA-PyTorch](https://github.com/chaofengc/IQA-PyTorch) documentation for detailed instructions on how to use these weights with the corresponding models.
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+
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+ ## Disclaimer
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+ - Part of the weights are trained by us, while others are collected from official repositories
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+ - While we strive for accuracy, performance is not guaranteed to exactly match original paper results
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+ - Users should verify model performance for their specific use cases
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+ - Please respect the original licenses and cite the appropriate papers when using these weights
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+
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+ ## Citation
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+ If you use these weights in your research, please cite our repository and the original papers for the respective models.
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+ ```
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+ @misc{pyiqa,
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+ title={{IQA-PyTorch}: PyTorch Toolbox for Image Quality Assessment},
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+ author={Chaofeng Chen and Jiadi Mo},
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+ year={2022},
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+ howpublished = "[Online]. Available: \url{https://github.com/chaofengc/IQA-PyTorch}"
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+ }
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+ ```