Zero-Shot Cross-Material Ptychographic Phase Reconstruction Using Deep Learning

arXiv:2609.13969 · cs.CV · Submitted 2026-09-12 · Read on arXiv

cs.CV

Submitted: 2026-09-12

Updated: 2026-09-22

Terminology

Fine-Tuning — 14× in this paper · explained in 5 episodes
Ablation — 11× in this paper · explained in 1 episode
Aggregation — 4× in this paper · explained in 1 episode
Calibration — 4× in this paper · explained in 7 episodes
Generalization — 4× in this paper · explained in 13 episodes
Transformer — 4× in this paper · explained in 2 episodes
Ablation study — 3× in this paper · explained in 1 episode
Accuracy — 3× in this paper · explained in 1 episode
Inverse Problem — 3× in this paper · explained in 2 episodes
Zero-Shot Transfer — 3× in this paper · explained in 4 episodes
Benchmark — 2× in this paper · explained in 2 episodes
Benchmarking — 2× in this paper · explained in 3 episodes
Feature Extraction — 2× in this paper · explained in 2 episodes
Iterative Refinement — 2× in this paper · explained in 3 episodes
Redundancy — 2× in this paper · explained in 2 episodes
Transferability — 2× in this paper · explained in 4 episodes
Adaptation — 1× in this paper · explained in 1 episode
Data Augmentation — 1× in this paper · explained in 7 episodes
Distribution Shift — 1× in this paper · explained in 6 episodes
Domain Shift — 1× in this paper · explained in 4 episodes
Edge Deployment — 1× in this paper · explained in 2 episodes
Fourier Imager Network — 1× in this paper
Multidomain Representation and Domain-Attention Model — 1× in this paper
Physical Constraints — 1× in this paper · explained in 7 episodes
Regularization — 1× in this paper · explained in 3 episodes
Robustness — 1× in this paper · explained in 5 episodes
Transformer Architecture — 1× in this paper · explained in 2 episodes

Zero-Shot Cross-Material Ptychographic Phase Reconstruction Using Deep Learning

Terminology

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