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Found 3 papers, 3 papers with code
Limited-Angle Tomography Reconstruction via Deep End-To-End Learning on Synthetic Data
A CT scanner consists of an X-ray source that is spun around an object of interest.
A Survey on Self-Supervised Representation Learning
Learning meaningful representations is at the heart of many tasks in the field of modern machine learning.
Optimizing Intermediate Representations of Generative Models for Phase Retrieval
With extensive experiments on the Fourier phase retrieval problem and thorough ablation studies, we can show the benefits of our modified ILO and the new initialization schemes.
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