Automatic Lens Design based on Differentiable Ray-tracing

Abstract
We propose a fully differentiable optical design method enabled by curriculum learning. Preliminary results show that our framework is suitable to solve highly non-convex problems like cellphone lens design.

Citation
Yang, X., Fu, Q., & Heidrich, W. (2022). Automatic Lens Design based on Differentiable Ray-tracing. Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, PcAOP). https://doi.org/10.1364/cosi.2022.cth4c.2

Publisher
Optica Publishing Group

Conference/Event Name
Computational Optical Sensing and Imaging, COSI 2022

DOI
10.1364/cosi.2022.cth4c.2

Additional Links
https://opg.optica.org/abstract.cfm?URI=COSI-2022-CTh4C.2

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