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arXiv cs.GR
arXiv cs.GR Research
· 3 months, 1 week ago • Jonghyun Kim, Cheng Sun, Michael Stengel, Matthew Chan, Andrew Russell, Jaehyun Jung, Wil Braithwaite, David Luebke, Shalini De Mello

Real-time 3D Visualization of Radiance Fields on Light Field Displays

Briefing

This paper tackles a very specific bottleneck: radiance fields look great, but light field displays need many slightly shifted views at once, which normally makes real-time use painfully expensive. The authors propose a shared intermediate representation based on sweeping planes, then composite those planes into the full light-field output in one pass instead of rendering each view separately.

That matters because the method is designed to work across modern scene representations like 3D Gaussian Splatting and Sparse Voxels without retraining. The tradeoff is straightforward: it prioritizes shared, non-directional plane caching for speed, while giving up some fine view-dependent color effects and using a bit more intermediate memory.

The headline numbers are strong for a research prototype: the team reports 200+ FPS at 512p across 45 rendered views on a Looking Glass display, plus up to 22x speedup versus independently rendering each view on standard benchmarks. The paper was submitted on 25 Aug 2025 and revised on 8 Jun 2026.

For game developers, this is less about immediate engine integration and more about where display tech and neural scene rendering are heading. If light field or other multi-view displays become more common in demos, location-based entertainment, or premium hardware, techniques like this could be the difference between a convincing interactive experience and a slideshow.

“achieving 200+ FPS at 512p across 45 rendered views”

— Paper abstract · Performance claim on a Looking Glass display
Original source
Read on arXiv cs.GR
At a glance
what
A framework converts radiance fields into shared sweeping planes for one-pass light-field compositing instead of per-view rendering.
who
Authors include Jonghyun Kim, Cheng Sun, Michael Stengel, Matthew Chan, Andrew Russell, Jaehyun Jung, Wil Braithwaite, David Luebke, and Shalini De Mello.
when
arXiv v1 was submitted on 25 Aug 2025; v2 was revised on 8 Jun 2026.
impact
Could make neural scene rendering practical on multi-view displays by cutting the cost of generating many viewpoints.
Signal Positive

Strong speedup and real-time multi-view output are promising for graphics tech

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