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Found 3 papers, 1 papers with code
Multiple-level Green Noise Mask Design for Practical Fourier Phase Retrieval
This paper proposes a two-stage optimization algorithm to generate multi-level random masks named $\textit{OptMask}$ that can also significantly reduce high-frequency components in the measurements but achieve higher accuracy than the binary masking scheme.
Towards Practical Single-shot Phase Retrieval with Physics-Driven Deep Neural Network
The results demonstrate the superiority and practicality of the proposed PPRNet over the traditional learning-based PR methods.
DeepGIN: Deep Generative Inpainting Network for Extreme Image Inpainting
Existing image inpainting approaches usually encounter difficulties in completing the missing parts in the wild with pleasing visual and contextual results as they are trained for either dealing with one specific type of missing patterns (mask) or unilaterally assuming the shapes and/or sizes of the masked areas.
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