Holographic near-to-eye displays promise unprecedented capabilities for virtual and augmented reality (VR/AR) systems. However, the image quality achieved by traditional holographic displays is limited, and algorithms for computer-generated holography (CGH) are slow. This seminar covers a family of neural holography advances that leverage the advantages of camera-based optimization and neural-network model representation to deliver dynamic, full-color, high-quality holographic images. Driven by trending machine intelligence, these jointly optimized hardware-software holography techniques can unlock the full potential of VR/AR/MR systems.
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