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A package for image registration regularized by inverse consistency

Project description

ICON: Learning Regular Maps through Inverse Consistency

Demo figure

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

Video Presentation

https://www.youtube.com/watch?v=7kZsJ3zWDCA

Running our code

To run our pretrained model in the cloud on 4 sample image pairs from OAI knees (as above), visit our google colab notebook


To train from scratch on the synthetic triangles and circles dataset:

1: Install pytorch

2:

git clone https://github.com/HastingsGreer/InverseConsistency
cd InverseConsistency

pip install -r requirements.txt

python training_scripts/2d_triangles_example.py

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