Curriculum learning for ab initio deep learned refractive optics
Xinge Yang,
Qiang Fu,
Wolfgang Heidrich
Abstract:Deep optical optimization has recently emerged as a new paradigm for designing computational imaging systems using only the output image as the objective. However, it has been limited to either simple optical systems consisting of a single element such as a diffractive optical element or metalens, or the fine-tuning of compound lenses from good initial designs. Here we present a DeepLens design method based on curriculum learning, which is able to learn optical designs of compound lenses ab initio from randoml… Show more
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