(Peer-Reviewed) Advancing computer-generated holographic display thanks to diffraction model-driven deep nets
Vittorio Bianco, Pietro Ferraro
CNR- ISASI Institute of Applied Sciences & Intelligent Systems Viale Campi Flegrei, 34 80078 Pozzuoli (Na) Italy
Opto-Electronic Advances, 2024-01-16
Abstract
Advancements are reported in computer-generated holography proofing RGB 4K display through a new strategy based on diffraction model-driven deep networks. In the new 4K-DMDNet, the network is not a “black box” anymore. Rather, the input-output relation must obey to the physics of wavefront propagation, which is embedded here as a constraint.
Thus, a labelled dataset is not required, and the model shows superior generalization capabilities with respect to data-driven approaches. The method is promising for the new generation of RGB 4K holographic display, as well as augmented and virtual reality systems.
Polariton lasing in Mie-resonant perovskite nanocavity
Mikhail A. Masharin, Daria Khmelevskaia, Valeriy I. Kondratiev, Daria I. Markina, Anton D. Utyushev, Dmitriy M. Dolgintsev, Alexey D. Dmitriev, Vanik A. Shahnazaryan, Anatoly P. Pushkarev, Furkan Isik, Ivan V. Iorsh, Ivan A. Shelykh, Hilmi V. Demir, Anton K. Samusev, Sergey V. Makarov
Opto-Electronic Advances
2024-04-25