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AI4Optics

Automate optical design with agentic AI and differentiable optimization.

AI4Optics brings differentiable optics, computational imaging, and agentic AI to optical system design — from lens design to full camera-in-the-loop image formation.

Simulators

AI-native optical simulators that AI agents can drive reliably with full code access.

  • DeepLens


    Differentiable optical lens simulator for end-to-end camera system design — geometric, diffractive, and hybrid lens models with PSF rendering and automated design.

    Open the DeepLens docs

  • End2endImaging


    End-to-end differentiable imaging framework — optics, sensor, ISP, and reconstruction networks as one optimizable graph for camera-in-the-loop system design.

    Open the End2endImaging docs

  • DiffTMM


    Differentiable transfer matrix method in PyTorch for multi-layer thin-film optics — isotropic and anisotropic solvers, GPU batching, and gradient-based inverse design of optical coatings.

    Open the DiffTMM docs

Applications

End-to-end imaging applications built on top of our simulators.

  • DeepLens Hyperspectral Imaging


    End-to-end hyperspectral imaging with DeepLens — joint design of dispersive optics and reconstruction networks for snapshot hyperspectral cameras.

    Open the DeepLens Hyperspectral Imaging docs

Softwares

Coming soon

Software tools will appear here as they are released.