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arXiv cs.GR
arXiv cs.GR Research
· 1 day, 7 hours ago • Jiazhou Cheng, Margaret Gao, Yixuan Shao, Chenkai Mao, Tom D. Milster, Jonathan A. Fan

A Differentiable Ray-Wave Framework for Hybrid Refractive-Diffractive System Modeling and Optimization

Briefing

arXiv cs.GR details a differentiable ray-wave framework for hybrid refractive-diffractive optical systems, aimed at bridging ray tracing and wave optics in a way that fits into existing simulation workflows. The authors frame it as a plug-and-play module, which is the practical hook for developers and researchers building optical design tools.

The key technical point is that the model handles both planar and curvilinear diffractive surfaces, along with arbitrary scalar holographic profiles that can carry high spatial-frequency responses. It is evaluated at a single wavelength, and the paper explores which ray-wave modeling regimes best capture surface curvature and frequency content.

For game and real-time graphics teams, the immediate relevance is indirect but real: better optical simulation can feed display research, computational imaging, and any pipeline that needs physically grounded lens or hologram modeling. The differentiable setup also matters because it enables end-to-end gradient-based optimization, which is increasingly the standard for inverse design workflows.

The broader implication is that hybrid optical systems may become easier to iterate on without hand-tuning separate ray and wave models. That could shorten the path from concept to manufacturable design in adjacent fields, especially where optical behavior is too complex for conventional ray tracing alone.

“a differentiable ray-wave framework”

— Jiazhou Cheng et al. · Core method described in the paper
Original source
Read on arXiv cs.GR
At a glance
what
A differentiable ray-wave framework models hybrid refractive-diffractive optical systems inside ray-tracing pipelines.
who
Authors Jiazhou Cheng, Margaret Gao, Yixuan Shao, Chenkai Mao, Tom D. Milster, and Jonathan A. Fan.
when
Submitted May 14, 2026; revised Aug. 12, 2026.
impact
Could simplify inverse design and optimization for optical simulation tools used in imaging and display research.
Signal Neutral

Interesting research, but mostly adjacent to game dev today.

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