Efficiently generating 3D holograms is one of the most challenging research topics in the
field of holography. This work introduces a method for generating multi‐depth phase‐only …

Projecting a 3D scene by generating a high-quality hologram in real time is crucial in many
applications, such as virtual and augmented reality and interactive learning. Existing …

Infrared radiation imaging is extensively utilized due to its unique advantages in terms of
wavelengths. This paper presents an end-to-end short-wave infrared digital holography …

Deep learning, especially through model-driven unsupervised networks, offers a novel
approach for efficient computer-generated hologram (CGH) generation. However, current …

This study presents, to the best of our knowledge, a novel approach for generating
holograms based on the neural radiance fields (NeRF) technique. Generating real-world …

A novel scheme is proposed for constructing binocular near-eye displays for augmented
reality (AR) using the Maxwellian view and computer-generated hologram technology. The …

Holograms can be observed from different viewpoints, because light waves can be encoded
to propagate in multiple directions. Thus, accurate holograms for 3D display should model …

Computer-generated holography (CGH) has been anticipated in augmented reality (AR)
field since it can fully provide multi-depth 3D information to users. As the gradient descent …

<? TeX 2pc 0pt?> A method for three-dimensional holographic image calculation based on
angular spectrum layering is presented, which significantly reduces the noise resulting from …

A deep learning Hybrid architecture for phase unwrapping has been proposed. The hybrid
architecture is based on integration of Convolutional Neural Networks (CNN) with Vision …