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Found 3 papers, 1 papers with code
Phase Retrieval with Background Information: Decreased References and Efficient Methods
Furthermore, two methods called Background Douglas-Rachford (BDR) and Convex Background Douglas-Rachford (CBDR) are proposed.
Untrained neural network embedded Fourier phase retrieval from few measurements
FPR with few measurements is important for reducing time and hardware costs, but it suffers from serious ill-posedness.
ADMM based Fourier phase retrieval with untrained generative prior
Then an untrained generative network is embedded in the iterative process of ADMM to project an estimated signal into the generative space, and the projected signal is applied to next iteration of ADMM.
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