Real-time 3D Visualization of Radiance Fields on Light Field Displays
Jonghyun Kim, Cheng Sun, Michael Stengel, Matthew Chan, Andrew Russell, Jaehyun Jung, Wil Braithwaite, Shalini De Mello, David Luebke

TL;DR
This paper introduces a unified, real-time rendering framework for radiance fields on light field displays, enabling high-quality, immersive 3D visualization at over 200 FPS across multiple views.
Contribution
It presents a novel, efficient architecture supporting various radiance field representations for real-time light field display rendering without retraining.
Findings
Achieves 200+ FPS at 512p on a Looking Glass display.
Provides up to 22x speedup over independent view rendering.
Maintains high image quality across different scene formats.
Abstract
Radiance fields have revolutionized photo-realistic 3D scene visualization by enabling high-fidelity reconstruction of complex environments, making them an ideal match for light field displays. However, integrating these technologies presents significant computational challenges, as light field displays require multiple high-resolution renderings from slightly shifted viewpoints, while radiance fields rely on computationally intensive volume rendering. In this paper, we propose a unified and efficient framework for real-time radiance field rendering on light field displays. Our method supports a wide range of radiance field representations, including NeRFs, 3D Gaussian Splatting, and Sparse Voxels, within a shared architecture based on a single-pass plane sweeping strategy and caching of shared, non-directional components. The framework generalizes across different scene formats without…
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