prNet: Data-Driven Phase Retrieval via Stochastic Refinement
Paper β’ 2507.09608 β’ Published β’ 1
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