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Probabilistic 3D Correspondence Prediction from Sparse Unsegmented Images

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SPI-CorrNet MLMI MICCAI 2024

Probabilistic 3D Correspondence Prediction from Sparse Unsegmented Images To run training and inference

python run_SPI_CorrNet.py --config configs/liver.json

To run with point cloud data, replace idx to None in the run_SPI_CorrNet.py

Data organization:

train
	- meshes 
	- images 
val
	- meshes
	- images 
test 
	- meshes
	- images 
mean.particles  

TODO: Upload dataset to SW Cloud portal and provide links

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