computer-vision-7
Physical Attribute Prediction
3260 papers • 126 benchmarks • 313 datasets
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Single-exposure absorption imaging of ultracold atoms using deep learning
G. Ness, Anastasiya Vainbaum, Constantine Shkedrov, Yanay Florshaim, Y. Sagi•Mon Mar 02 2020
This work performs absorption imaging with only a single exposure, where instead of a second exposure the reference frame is generated by an unsupervised image-completion autoencoder neural network, trained on images without absorption signal such that it can infer the noise overlaying the atomic signal based only on the information in the region encircling the signal.