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- Image-to-Image
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# Accelerating Image Super-Resolution Networks with Pixel-Level Classification
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[![Project Page](https://img.shields.io/badge/Project-Page-green)](https://3587jjh.github.io/PCSR/)
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[![arXiv](https://img.shields.io/badge/arXiv-2407.21448-b31b1b)](https://arxiv.org/abs/2407.21448)
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<div align="justify">
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- NVIDIA GPU + CUDA<br>
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- Python packages: `pip install numpy opencv-python pandas tqdm fast_pytorch_kmeans`
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##
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Please refer to `test.py` and `test_pcsr.py` for a detailed description of the arguments.
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```
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# original model
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python test.py --config <config path> --hr_data <hr foler> --lr_data <lr folder> --per_image --crop
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# PCSR model (phase1)
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python test_pcsr.py --config <config path> --hr_data <hr foler> --scale <integer scale> --per_image --crop --k 0 [--adaptive]
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```
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## Citation
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```
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- Image-to-Image
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---
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# Accelerating Image Super-Resolution Networks with Pixel-Level Classification
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[![Project Page](https://img.shields.io/badge/Project-Page-green)](https://3587jjh.github.io/PCSR/)
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[![arXiv](https://img.shields.io/badge/arXiv-2407.21448-b31b1b)](https://arxiv.org/abs/2407.21448)
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<div align="justify">
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- NVIDIA GPU + CUDA<br>
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- Python packages: `pip install numpy opencv-python pandas tqdm fast_pytorch_kmeans`
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## How to Use
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## Citation
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```
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