受大脑神经突触修剪启发，自动设计高性能复杂镜头
Neuro-inspired automated lens design
- 模仿神经发育突触修剪，先生成多样初始结构再淘汰低效设计
- 无需人工干预即可生成多个性能接近人类水平的复杂非球面镜头
- 适合光学设计自动化、新架构探索的研究者与工程师
现代镜头设计面临高度非凸的优化难题，依赖大量人工经验，效率低且设计多样性受限。尽管自动化方法理想，现有方案多局限于简单任务或产生图像质量不佳的复杂镜头。本研究受哺乳动物神经发育中突触修剪机制启发，提出OptiNeuro——一种全新的自动化镜头设计框架。该框架先生成多样化的初始结构，再通过渐进式淘汰低性能镜头，并对剩余候选者进行基于梯度的优化。该方法实现了复杂非球面成像镜头的全自动化设计，达到准人类水平的性能，发现多个可行设计方案，显著提升设计自动化程度与效率，推动此前未探索镜头架构的发现。
原文摘要 · Abstract (English)
The highly non-convex optimization landscape of modern lens design necessitates extensive human expertise, resulting in inefficiency and constrained design diversity. While automated methods are desirable, existing approaches remain limited to simple tasks or produce complex lenses with suboptimal image quality. Drawing inspiration from the synaptic pruning mechanism in mammalian neural development, this study proposes OptiNeuro--a novel automated lens design framework that first generates diverse initial structures and then progressively eliminates low-performance lenses while refining remaining candidates through gradient-based optimization. By fully automating the design of complex aspheric imaging lenses, OptiNeuro demonstrates quasi-human-level performance, identifying multiple viable candidates with minimal human intervention. This advancement not only enhances the automation level and efficiency of lens design but also facilitates the exploration of previously uncharted lens architectures.
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