A package for image registration regularized by inverse consistency
Project description
ICON: Learning Regular Maps through Inverse Consistency
This is the official repository for
ICON: Learning Regular Maps through Inverse Consistency.
Hastings Greer, Roland Kwitt, Francois-Xavier Vialard, Marc Niethammer.
ICCV 2021 https://arxiv.org/abs/2105.04459
Cite this work
@InProceedings{Greer_2021_ICCV,
author = {Greer, Hastings and Kwitt, Roland and Vialard, Francois-Xavier and Niethammer, Marc},
title = {ICON: Learning Regular Maps Through Inverse Consistency},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
month = {October},
year = {2021},
pages = {3396-3405}
}
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Running our code
We are available on PyPI!
pip install icon-registration
To run our pretrained model in the cloud on sample images from OAI knees, visit our google colab notebook
To train from scratch on the synthetic triangles and circles dataset:
git clone https://github.com/uncbiag/ICON
cd ICON
pip install -e .
python training_scripts/2d_triangles_example.py
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