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license: cc-by-nc-sa-4.0
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license: cc-by-nc-sa-4.0
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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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## 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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## 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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## 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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## 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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## 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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```
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