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Physics-Based Generative Adversarial Models for Image Restoration and Beyond

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Name		Name	Last commit message	Last commit date
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.vscode		.vscode
checkpoints		checkpoints
data		data
datasets		datasets
models		models
options		options
util		util
.DS_Store		.DS_Store
Readme.txt		Readme.txt
test_deblur.py		test_deblur.py
test_dehaze.py		test_dehaze.py
train_text_deblur.py		train_text_deblur.py

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An implementation of "Physics-Based Generative Adversarial Models for Image Restoration and Beyond", TPAMI, 2018.
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The code is a little bit chaotic. We will release new version soon.

For algorithmic details, please refer to our paper. Should you have any questions regarding this code and the corresponding results, please contact Jinshan Pan ([email protected]).

Thanks.