(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.
Genetic algorithm assisted meta-atom design for high-performance metasurface optics
Zhenjie Yu, Moxin Li, Zhenyu Xing, Hao Gao, Zeyang Liu, Shiliang Pu, Hui Mao, Hong Cai, Qiang Ma, Wenqi Ren, Jiang Zhu, Cheng Zhang
Opto-Electronic Science
2024-09-20