AI RESEARCH
Circular Phase Representation and Geometry-Aware Optimization for Ptychographic Image Reconstruction
arXiv CS.CV
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ArXi:2604.26664v1 Announce Type: cross Traditional iterative reconstruction methods are accurate but computationally expensive, limiting their use in high-throughput and real-time ptychography. Recent deep learning approaches improve speed, but often predict phase as a Euclidean scalar despite its $2\pi$ periodicity, which can