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[ICCV2023] Physics-Driven Turbulence Image Restoration with Stochastic Refinement.

Ajay Jaiswal*, Xingguang Zhang*, Stanley Chan, and Zhangyang Wang

https://arxiv.org/pdf/2307.10603.pdf

<img width="864" alt="image" src="https://github.com/VITA-Group/PiRN/assets/6660499/f9daaf5a-b0d2-426e-bee3-ede87cf89047"> <img width="864" alt="image" src="https://github.com/VITA-Group/PiRN/assets/6660499/54c09a4a-9ac0-4df9-b04f-c1f53d4e5133">

Test with some of our trained models at: https://utexas.app.box.com/s/79d7gk18fwab7lhc3p4xpi6s1amiyua5

Citation

If you find our work helpful for your own research or work, please cite our paper.

@article{jaiswal2023physics,
  title={Physics-Driven Turbulence Image Restoration with Stochastic Refinement},
  author={Jaiswal, Ajay and Zhang, Xingguang and Chan, Stanley H and Wang, Zhangyang},
  journal={arXiv preprint arXiv:2307.10603},
  year={2023}
}

Visit our website for more works and tutorials on Imaging through Atmospheric Turbulence https://engineering.purdue.edu/ChanGroup/project_turbulence.html