Review of computer-generated hologram algorithms for color dynamic holographic three-dimensional display

D Pi, J Liu, Y Wang - Light: Science & Applications, 2022 - nature.com
Holographic three-dimensional display is an important display technique because it can
provide all depth information of a real or virtual scene without any special eyewear. In recent …

Roadmap on computational methods in optical imaging and holography

J Rosen, S Alford, B Allan, V Anand, S Arnon… - Applied Physics B, 2024 - Springer
Computational methods have been established as cornerstones in optical imaging and
holography in recent years. Every year, the dependence of optical imaging and holography …

End-to-end learning of 3d phase-only holograms for holographic display

L Shi, B Li, W Matusik - Light: Science & Applications, 2022 - nature.com
Computer-generated holography (CGH) provides volumetric control of coherent wavefront
and is fundamental to applications such as volumetric 3D displays, lithography, neural …

High-speed computer-generated holography using an autoencoder-based deep neural network

J Wu, K Liu, X Sui, L Cao - Optics Letters, 2021 - opg.optica.org
Learning-based computer-generated holography (CGH) provides a rapid hologram
generation approach for holographic displays. Supervised training requires a large-scale …

[PDF][PDF] 4K-DMDNet: diffraction model-driven network for 4K computer-generated holography

K Liu, J Wu, Z He, L Cao - Opto-Electronic Advances, 2023 - researching.cn
Deep learning offers a novel opportunity to achieve both high-quality and high-speed
computer-generated holography (CGH). Current data-driven deep learning algorithms face …

Three-dimensional holographic communication system for the metaverse

L He, K Liu, Z He, L Cao - Optics Communications, 2023 - Elsevier
We demonstrate a real-time three-dimensional communication system integrating the
capture, hologram generation, transmission and display. The point cloud of a 3D scene is …

Diffraction model-informed neural network for unsupervised layer-based computer-generated holography

X Shui, H Zheng, X **a, F Yang, W Wang, Y Yu - Optics Express, 2022 - opg.optica.org
Learning-based computer-generated holography (CGH) has shown remarkable promise to
enable real-time holographic displays. Supervised CGH requires creating a large-scale …

Direct amplitude-only hologram realized by broken symmetry

D Yang, HS Lee - Science Advances, 2024 - science.org
Holographic displays have been a long-standing ambition for decades to realize true-to-life
reconstruction. However, their practical adoption is hindered by their subpar image quality …

Diffraction model-driven neural network trained using hybrid domain loss for real-time and high-quality computer-generated holography

H Zheng, J Peng, Z Wang, X Shui, Y Yu, X **a - Optics Express, 2023 - opg.optica.org
Learning-based computer-generated holography (CGH) has demonstrated great potential in
enabling real-time, high-quality holographic displays. However, most existing learning …

Real-time high-quality computer-generated hologram using complex-valued convolutional neural network

C Zhong, X Sang, B Yan, H Li, D Chen… - … on Visualization and …, 2023 - ieeexplore.ieee.org
Holographic displays are ideal display technologies for virtual and augmented reality
because all visual cues are provided. However, real-time high-quality holographic displays …