This repository is used for the computation in the paper Physics-Driven Learning of Wasserstein GAN for Density Reconstruction in Dynamic Tomography.
Citation information:
@ARTICLE{Huang_21_WGAN_DynTomo,
author = {{Huang}, Zhishen and {Klasky}, Marc and {Wilcox}, Trevor and {Ravishankar}, Saiprasad},
title = "{Physics-Driven Learning of Wasserstein GAN for Density Reconstruction in Dynamic Tomography}",
journal = {arXiv e-prints},
keywords = {Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Machine Learning},
year = 2021,
month = oct,
eid = {arXiv:2110.15424},
pages = {arXiv:2110.15424},
archivePrefix = {arXiv},
eprint = {2110.15424},
primaryClass = {eess.IV},
adsurl = {https://ui.adsabs.harvard.edu/abs/2021arXiv211015424H},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}