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
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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