37‐1: Invited Paper: Advances in Neural Holographic Displays for Virtual and Augmented Reality

Abstract

Holographic near‐eye displays promise unprecedented capabilities for virtual and augmented reality (VR/AR) systems; they can accurately reproduce focus cues, improve power efficiency, and correct for optical aberrations. However, the image quality achieved by traditional holographic displays is limited, and algorithms for computer‐generated holography (CGH) are slow. In this paper, we review emerging artificial intelligence‐enabled holographic near‐eye displays that promise to solve these long‐standing challenges.

59‐4: Towards Real‐time 3D Computer‐Generated Holography with Inverse Neural Network for Near‐eye Displays

“…Unlike conventional display techniques, holographic displays can recover the complete light field information of the target scene, including both amplitude and phase. Such information necessitates pre-encoding in the holograms, either through optical interference or various computergenerated holography (CGH) methods [1]. Subsequently, a spatial light modulator (SLM) is employed to modulate the incident coherent light according to the generated hologram, reconstructing the target 3D scenes through diffraction and interference.…”