arXiv Computer Vision
PCFBench: How Far Can Large Vision-Language Models Go in Physics-aware Photonic Inverse Design?
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PICasso: An AI-Enabled Design Framework for Autonomous Optimization of Silicon Photonic Devices
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Hugging Face Trending Papers
Aug 18
A Comprehensive Review of Large Language Models for Nanophotonics: From Surrogate Modeling to Autonomous Design
Metasurfaces have revolutionized the development of photonic devices by enabling unprecedented precision in light manipulation. However, their design processes are often constrained by computationally...
arXiv AI
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A Self-Evolving Agentic Framework for Metasurface Inverse Design
arXiv:2604. 01480v2 Announce Type: replace Abstract: Metasurface inverse design can realize complex optical functionality, but turning a target optical response into executable optimization code still requires substantial expertise in computational electromagnetics and solver-specific software engineering.
arXiv Computer Vision
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LensDesigner: A Self-Improving Agent for Optical Lens Design
LensDesigner is an autonomous agent framework that emulates expert opticians to tackle the complex, non‑convex problem of optical lens design. It uses a large lens library (LensLib100K) and optics‑aware retrieval to provide valid structural seeds, then iteratively improves through a curriculum agent that learns and reuses design heuristics. The system is evaluated on LensArena, a benchmark of 120 diverse optical tasks, where it outperforms existing baseline algorithms in success rate and optimization efficiency.