no code implementations • CVPR 2020 • Javier Grau Chopite, Matthias B. Hullin, Michael Wand, Julian Iseringhausen
We demonstrate that our feed-forward network, even though it is trained solely on synthetic data, generalizes to measured data from SPAD sensors and is able to obtain results that are competitive with model-based reconstruction methods.
