DiffRayFlow: A Differentiable Freeform Optical Design Engine Based on Discrete Optimal Transport

Freeform surfaces play a critical role in complex light-field modulation. However, traditional geometric mapping and standard optimization methods are limited by computational cost and convergence instability in large-scale ray tracing and complex surface modeling. This paper introduces DiffRayFlow, which integrates discrete optimal transport (OT), end-to-end differentiable ray tracing (DRT), and an adaptive multi-scale strategy. OT provides a global, energy-conserving geometric map. Differentiable tracing parameterizes the surface using the finite difference method (FDM) and constructs a differentiable link from height parameters to target landing points. The multi-scale approach, combined with early stopping, enhances efficiency and stability. For typical tasks involving over a million rays, the core heightmap optimization is usually completed within 20 s. The method can output standard Computer-Aided Design (CAD) data for rapid prototyping and physical validation. Ablation studies show that the multi-scale strategy is key to achieving high-precision convergence, while the early stopping mechanism can reduce optimization time by about 40% without sacrificing reconstruction quality. DiffRayFlow provides an efficient engineering path for interactive design and large-scale customization.

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Publication Details

Journal
Photonics
Published
2025-12-18
DOI
https://doi.org/10.3390/photonics12121243
Primary Topic
Advanced optical system design
Type
article
Field-Weighted Citation Impact
0.00
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article

DiffRayFlow: A Differentiable Freeform Optical Design Engine Based on Discrete Optimal Transport

Yunan Wu, Ning Ma, Liang Frank Wang, Jun Chang et al.
Photonics
Advanced optical system design
article

DiffRayFlow: A Differentiable Freeform Optical Design Engine Based on Discrete Optimal Transport

Yunan Wu, Ning Ma, Liang Frank Wang, Jun Chang, Yanhong Xie
article en

Abstract

Freeform surfaces play a critical role in complex light-field modulation. However, traditional geometric mapping and standard optimization methods are limited by computational cost and convergence instability in large-scale ray tracing and complex surface modeling. This paper introduces DiffRayFlow, which integrates discrete optimal transport (OT), end-to-end differentiable ray tracing (DRT), and an adaptive multi-scale strategy. OT provides a global, energy-conserving geometric map. Differentiable tracing parameterizes the surface using the finite difference method (FDM) and constructs a differentiable link from height parameters to target landing points. The multi-scale approach, combined with early stopping, enhances efficiency and stability. For typical tasks involving over a million rays, the core heightmap optimization is usually completed within 20 s. The method can output standard Computer-Aided Design (CAD) data for rapid prototyping and physical validation. Ablation studies show that the multi-scale strategy is key to achieving high-precision convergence, while the early stopping mechanism can reduce optimization time by about 40% without sacrificing reconstruction quality. DiffRayFlow provides an efficient engineering path for interactive design and large-scale customization.

PhotonicsVol. 12(12)
Beijing Institute of Technology (CN)
Openalex Percentile: Top 60%
Advanced optical system design
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