prNet is a data-driven phase retrieval framework that combines stochastic sampling, learned denoising, and model-based updates to balance reconstruction fidelity and perceptual quality.

Paper: prNet: Data-Driven Phase Retrieval via Stochastic Refinement

Code: https://github.com/METU-SPACE-Lab/prNet-for-Phase-Retrieval

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