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Gaussian Splats AI Rendering Algorithm for Ultra-thin Holographic Glasses
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Gaussian Splats AI Rendering Algorithm for Ultra-thin Holographic Glasses

16 January Online

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About this event

Online: Zoom and YouTube links to be announced
Suyeon Choi, Postdoctoral Scholar, Electrical Engineering, Stanford University
Tenure-track Assistant Professor, Computer Science & Engineering, Seoul National University (March 2026)

Talk summary:
AI glasses hold great promise as the next-generation computing platform, but efficiently encoding and decoding photorealistic 3D scenes within a compact, ultra-thin display form factor remain key challenges. In this talk, I will discuss how the integration of holographic optics, graphics, and artificial intelligence can help address these challenges in developing compact holographic glasses for spatial computing. Specifically, I will introduce an ultra-thin holographic glasses design along with an efficient rendering algorithm that converts Gaussian splats into holograms.
https://choisuyeon.github.io/

Bio:
Suyeon is currently a postdoctoral scholar at the Stanford Computational Imaging Lab, working with Prof. Gordon Wetzstein. He is broadly interested in developing new algorithms and optical systems at the intersection of graphics, optics, AI, and vision science. During his PhD, he developed holographic display systems based on AI for VR/AR applications, for which he received the ACM SIGGRAPH Outstanding Dissertation Award Honorable Mention in 2025. He earned his Ph.D. degree from Stanford University and undergraduate degree from Seoul National University. He will be joining the Department of Computer Science and Engineering at Seoul National University as an Assistant Professor in March 2026.
https://www.linkedin.com/in/suyeon-choi-724751186/

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