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Neural Holographic Display and Image Synthesis

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Abstract

Holographic displays promise unprecedented capabilities for direct-view displays as well as virtual and augmented reality applications. We develop Neural Holography, an algorithmic computer-generated holography (CGH) framework that uses camera-in-the-loop training to achieve unprecedented image fidelity and real-time framerates.

© 2020 The Author(s)

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More Like This
Enabling Next-generation Holographic Displays with Artificial Intelligence

Gordon Wetzstein, Yifan Peng, Suyeon Choi, and Jonghyun Kim
3Th4D.2 3D Image Acquisition and Display: Technology, Perception and Applications (3D) 2021

High-Speed Computer-Generated Holography Using Convolutional Neural Networks

M. Hossein Eybposh, Nicholas W. Caira, Praneeth Chakravarthula, Mathew Atisa, and Nicolas C. Pégard
BTu2C.2 Optics and the Brain (BRAIN) 2020

Wirtinger Gradient Based Optimization for High-Quality Computer Generated Holography

Praneeth Chakravarthula, Yifan Peng, Joel Kollin, Henry Fuchs, and Felix Heide
HF1D.5 Digital Holography and Three-Dimensional Imaging (DH) 2020

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