AutoPhaseNN is DL-based approach which gives direct inversion of the 3D BCDI data from the far-field measurement to the real space image. By incoorporating the forward physical model of the coherent diffraction imaging process, the model is trained with only measured diffraction patterns without needing real space images. https://www.nature.com/articles/s41524-022-00803-w
Tensorflow 2.x version
The model trained on simulated data can be downloaded with the link: https://g-29c18.fd635.8443.data.globus.org/cherukara/cohere-trained_model.hdf5
The trained model is obtained with TF2.4.1 version. Please make sure using the same TF version to successfully load the model.
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