全息术
计算机科学
计算全息
全息显示器
立体显示器
虚拟现实
增强现实
人工智能
图像质量
计算机视觉
质量(理念)
计算机图形学(图像)
图像(数学)
光学
物理
量子力学
作者
Manu Gopakumar,Suyeon Choi,Jong-Hyun Kim,Evan Y. Peng,Gordon Wetzstein
摘要
Holographic near-eye displays have the potential to overcome many long-standing challenges for virtual and augmented reality (VR/AR) systems; they can reproduce full 3D depth cues, improve power efficiency, enable compact display systems, and correct for optical aberrations. Despite these remarkable benefits, this technology has been held back from widespread usage due to the limited image quality achieved by traditional holographic displays, the slow algorithms for computer-generated holography (CGH), and current bulky optical setups. Here, we review recent advances in CGH that utilize artificial intelligence (AI) techniques to solve these challenges.
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