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# TurbulenceSim_P2S | ||
# Accelerating Atmospheric Turbulence Simulation via Learned Phase-to-Space Transform | ||
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This repository contains the code for the following paper: | ||
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Zhiyuan Mao, Nicholas Chimitt, and Stanley H. Chan, ‘‘Accelerating Atmospheric Turbulence Simulation via Learned Phase-to-Space Transform’’, accepted to ICCV 2021 | ||
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Arxiv: | ||
https://arxiv.org/abs/2107.11627 | ||
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How to use: | ||
- Check the demo.py file | ||
- The generation of correlation matrix for point spread functions is slow. We have prepared a few correlation matrix with different correlation strength for you to download at _____________________________ | ||
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If you find our work helpful in your research, please consider cite our paper | ||
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``` | ||
@InProceedings{Mao_2021_ICCV, | ||
author = {Zhiyuan Mao and Nicholas Chimitt and Stanley H. Chan}, | ||
title = {Accelerating Atmospheric Turbulence Simulation via Learned Phase-to-Space Transform}, | ||
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, | ||
month = {October}, | ||
year = {2021} | ||
} | ||
``` | ||
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Please also check out our other work on Atmospheric Turbulence: | ||
- Project page | ||
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https://engineering.purdue.edu/ChanGroup/project_turbulence.html | ||
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- Reconstruction of static and dynamic scene through atmospheric turbulence: | ||
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