Design of Holographic Display Systems based on Artificial Intelligence - Livestream

Emerging spatial computing systems are widely believed to be next-generation computing platforms, offering transformative experiences across various domains such as teleconferencing, education, entertainment, industry, and basic vision research, among others. To deliver perceptually realistic and visually comfortable experiences, optical interfaces, such as imagers or displays, must be compact, adaptable, seamlessly integrated, and capable of efficiently encoding and robustly reconstructing visual information. However, most of these parameters are not achieved by existing optical devices, mainly limited by the high-dimensional, low-latency nature of the visual signals and the sensitive, complex nature of human sensory systems that must be fully satisfied. In this talk, I will describe how computational optical systems can provide solutions to these interfaces for augmented and virtual reality (AR/VR) applications. First, I will introduce an artificial intelligence (AI)-based algorithmic framework that comprises several parts, including a novel camera-in-the-loop optimization strategy that allows us to either optimize a hologram directly or train a parameterized model of the optical wave propagation and a neural network architecture that represents the first computer-generated holography (CGH) algorithm capable of generating full-color high-quality holographic images at 1080p resolution in real-time. Efficiently and accurately modeling arbitrary optical systems, these frameworks overcome long-standing challenges in holography, such as low image quality and prohibitive computational cost. Next, I will present computational design methodologies powered by my framework, which enable full-color, high-quality 3D images within glasses form factors for AR/VR displays. I will also discuss how this advancement paves the way for studying 3D human perception, leveraging a holographic perceptual testbed. Finally, I will discuss future directions that I’m excited to explore.

Speaker: Suyeon Choi, Stanford University

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