DynGhost improves dynamic ghost imaging reconstruction by using a transformer with alternating spatial-temporal attention and quantum-aware training on simulated single-photon detector data.
Learning from simulation: An end-to-end deep-learning approach for computational ghost imaging
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DynGhost: Temporally-Modelled Transformer for Dynamic Ghost Imaging with Quantum Detectors
DynGhost improves dynamic ghost imaging reconstruction by using a transformer with alternating spatial-temporal attention and quantum-aware training on simulated single-photon detector data.