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-# TurbulenceSim_P2S
\ No newline at end of file
+# Accelerating Atmospheric Turbulence Simulation via Learned Phase-to-Space Transform
+
+This repository contains the code for the following paper:
+
+Zhiyuan Mao, Nicholas Chimitt, and Stanley H. Chan, ‘‘Accelerating Atmospheric Turbulence Simulation via Learned Phase-to-Space Transform’’, accepted to ICCV 2021
+
+Arxiv: 
+https://arxiv.org/abs/2107.11627
+
+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 _____________________________
+
+If you find our work helpful in your research, please consider cite our paper
+
+```
+@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}
+} 
+```
+  
+Please also check out our other work on Atmospheric Turbulence: 
+  - Project page
+  
+    https://engineering.purdue.edu/ChanGroup/project_turbulence.html
+  
+  - Reconstruction of static and dynamic scene through atmospheric turbulence: 
+  
+    _________________________________________________________________